AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Marketing Operations Manager (Remote, Canada)
AI-powered property and climate risk platform for the insurance industry, providing insights for better underwriting and pricing.
Benefits:
Health Coverage (Medical, Dental, Vision, One Medical Membership)
Equity (Stock Options)
401k (Mass Mutual)
FSA
Vacation Policy (Flexible Time Off) Life Insurance (Long-Term Disability and Life Insurance) Team Outings & Trips (Quarterly and Annual) Workplace Perfection (Ergonomics Budget) Monthly Team Lunches
Experience Requirements:
3+ years in a marketing operations role, preferably in a B2B SaaS or technology company
Hands-on experience managing Salesforce and marketing automation platforms (ActiveCampaign, Mailchimp, Outreach)
Experience building and executing account-based marketing strategies
Responsibilities:
Lead and optimize ZestyAI’s marketing technology stack
Design and implement an ABM infrastructure
Establish and enforce governance policies for data quality
Manage and optimize marketing automation systems
Oversee the health and accuracy of the marketing database Develop and manage segmentation strategies Partner with marketing, sales, and product teams to build and execute campaigns Create and maintain lead scoring models Implement and manage attribution methodologies Own the creation of dashboards and reporting Provide actionable insights and recommendations based on data analysis Partner with sales, revenue operations, and customer success teams Train cross-functional teams on marketing automation tools
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Senior Software Engineer (Trajectory Planning)
Oxa develops self-driving software and services for businesses, focusing on safety, efficiency, and AI-powered solutions for autonomous transportation.
Benefits:
Competitive salary, benchmarked against the market and reviewed annually
Hybrid working arrangements
Life Insurance
AD&D Insurance
Long Term Disability Insurance
Education Requirements:
PhD in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 2+ years of professional experience is desired
MS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 4+ years of professional experience is acceptable
Experience Requirements:
Extensive hands-on experience of optimisation-based trajectory planning
Experience with sampling-based trajectory planning approaches
Experience with trajectory planning problem formulation and problem transcription
Modern C++ algorithm development and deployment, ideally in a production environment (including STL and common testing frameworks)
Responsibilities:
Collaborate with your Team Lead and team members to solve Spatio-Temporal motion planning problems, including off-the-shelf solver evaluation and custom solver implementation.
Collaborate with the Decision Making team to transcribe nuanced manoeuvres in complex on- and off-road environments into generalised Trajectory Planning problems.
Collaborate with the Controls team to ensure Smooth, Comfortable, Precise manoeuvre execution for on- and off-road applications.
Contribute to the development of high quality functionality and APIs that allow the Planner functionality to be used as a building block for on-vehicle capabilities.
Create appropriate metrics and tools to measure and benchmark the performance of Planners deployed on various AV platforms.
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Senior Robotics Software Engineer (Integration & Validation)
Oxa develops self-driving software and services for businesses, focusing on safety, efficiency, and AI-powered solutions for autonomous transportation.
Benefits:
Competitive salary, benchmarked against the market and reviewed annually
Hybrid working arrangements
Life Insurance
AD&D Insurance
Long Term Disability Insurance
Education Requirements:
Degree in Robotics or a related field (e.g., Computer Science, Engineering, Physics, etc.)
Experience Requirements:
Solid foundational knowledge of Robotics technologies and how they operate
Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes
Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics.
Professional experience in modern C++, including the STL and common testing frameworks
Fluency in Python for software development
Responsibilities:
Developing and maintaining high quality processes and APIs to generate performance signals and combine them to create meaningful performance metrics
Building and owning the necessary tools and the Planning evaluation framework
Contributing significantly to the engineering lifecycle, including scoping, design, implementation, testing, deployment and maintenance of your team's work
Verifying and validating through on-road testing and scenario simulation
Leveraging synthetic data from simulations to expand test situations
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Senior Data Engineer (Reasoning ML)
Oxa develops self-driving software and services for businesses, focusing on safety, efficiency, and AI-powered solutions for autonomous transportation.
Benefits:
Competitive salary, benchmarked against the market and reviewed annually
Hybrid working arrangements
Life Insurance
AD&D Insurance
Long Term Disability Insurance
Education Requirements:
Degree in Computer Science, Mathematics or a related field.
3+ years of professional experience developing behavioural machine learning technologies for autonomous vehicles or robotics.
Experience with production ML pipelines: data creation and curation, training frameworks, evaluation pipelines.
Fluency in Python and experience with data analysis libraries and packages.
Proven record of leading and delivering projects as part of a team.
Responsibilities:
Take a leading role within your team to develop and deploy state of the art data pipelines for our machine learning models.
Design and implement metrics for model validation and continuous monitoring in production.
Leverage the Oxa Metadriver™ platform to generate synthetic data, and train effective and robust driving policies,
Build cloud tooling and infrastructure in support of experimentation, evaluation and deployment workflows.
Engage with team members and colleagues throughout the business to create an environment that supports collaboration and mutual understanding.
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Data Scientist (Operational Domain Intelligence)
Oxa develops self-driving software and services for businesses, focusing on safety, efficiency, and AI-powered solutions for autonomous transportation.
Benefits:
Competitive salary, benchmarked against the market and reviewed annually
Company share programme
Hybrid and/or flexible work arrangements
Core benefits of market leading private healthcare, life assurance, critical illness cover, income protection, alongside a company paid health cash plan (including gym discounts)
A flexible £2,000 (pro-rata) benefits fund to spend on additional benefits of your choice, including tech scheme and cycle to work benefits
Education Requirements:
Experience with Machine Learning in a research environment.
Demonstrate proficiency in Python software development skills
Experience with computer vision and robotics. More specifically object detection, tracking and localization.
Solid software engineering design principles and up-to-date knowledge of Python best practices
An ability to understand both technical and commercial requirements.
Responsibilities:
Researching and developing state of the art pipelines for: analysing deployment domains, route feasibility checks, domain clustering and classification, representation learning and data coverage analysis.
Researching and developing state of the art techniques and processes for assuring pre- and post-deployment data coverage across the company.
Responsible for data interpretation, data governance, communicating findings from the validation, and creating dashboards for metrics management.
Keeping up with the latest advances in computer vision and tracking research and applying relevant techniques to Oxa MetaDriver
Contributing to the development tools and processes to support a common testing framework across the company, acquisition of data, ML frameworks and commercial operations
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Enablement Manager (GTM)
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
3-5 years of experience in an Enablement role in a B2B SaaS company
Prior start-up experience, building an Enablement program from ground-up preferred
Knowledge of automation, process transformation, or AI-related domains a strong asset
Strong understanding of sales processes and methodologies
Strong analytical skills with the ability to interpret customer data, identify trends, and extract actionable insights
Other Requirements:
The ability to thrive in a fast-paced, dynamic environment
Excellent communication skills to connect with all layers within the organization
Extreme ownership
Responsibilities:
Empower Wisedocs' Go-To-Market teams to achieve exceptional results by providing them with the knowledge, resources, and tools they need to win.
Develop & Deliver: Develop and implement a comprehensive sales enablement strategy aligned with business goals
Create and curate high-impact sales content (e.g., decks, battle cards, demos), and design/deliver engaging training programs for GTM teams (sales, marketing, customer success).
Analyze & Optimize: Track key GTM metrics, analyze performance, identify areas for improvement, and report on the impact of enablement initiatives.
Collaborate: Partner with cross-functional teams (marketing, product, sales, customer success) to ensure alignment on messaging, product launches, and GTM strategies.
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Enterprise Account Executive (Canada or US)
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
5+ years experience in an Enterprise Sales Role
You understand MEDDICC or another best in class sales methodology that you carry through with you
You are extremely competent and confident in your abilities
You are hitting quota.
Previous experience in the Insurance or Legal industries
Other Requirements:
Experience or understanding of Sales Tools including Hubspot
Comfortable attending events and travelling nationally
Very personable and comfortable striking up a conversation (including cold calling), and building relationships
Responsibilities:
Running a full lifecycle of an opportunity, from sourcing all the way through to close.
Running discovery call, demos, and negotiation calls.
Building a pipeline of opportunities and researching, engaging and qualifying prospective customers through calling, emailing, networking, social media and in person
Collaborate closely with our Customer Success organization to ensure a smooth hand off from sales to onboarding for our clients
Work cross functionally with teams including product and operations to provide consistent client and market feedback to the organization.
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Enterprise Account Executive (Canada or US)
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
5+ years experience in an Enterprise Sales Role
You understand MEDDICC or another best in class sales methodology that you carry through with you
You are extremely competent and confident in your abilities
You are hitting quota.
Previous experience in the Insurance or Legal industries
Other Requirements:
Experience or understanding of Sales Tools including Hubspot
Comfortable attending events and travelling nationally
Very personable and comfortable striking up a conversation (including cold calling), and building relationships
Responsibilities:
Running a full lifecycle of an opportunity, from sourcing all the way through to close.
Running discovery call, demos, and negotiation calls.
Building a pipeline of opportunities and researching, engaging and qualifying prospective customers through calling, emailing, networking, social media and in person
Collaborate closely with our Customer Success organization to ensure a smooth hand off from sales to onboarding for our clients
Work cross functionally with teams including product and operations to provide consistent client and market feedback to the organization.
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Machine Learning Engineer
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
A hybrid work model
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Experience Requirements:
Have a minimum of 3 years of experience in software development, with a strong focus on Python programming.
Possess professional working experience with LLMs, RAG, transformers, BERT.
Having demonstrated a solid foundation in data structures, algorithms, and software engineering principles, with a track record of developing high-quality, maintainable code.
Should be familiar with recent model developments and frameworks, i.e. LlaMa, Mistral, GLINER, TGI, etc.
Proven Machine Learning industry experience, preferably at scale.
Other Requirements:
Prior professional experience with LlamaIndex is preferred.
Prior experience with transfer learning and model modifications.
Excellent problem-solving skills, while exhibiting high enthusiasm to tackle complex challenges in AI/ML development and deployment.
Are enthusiastic about working in a fast-paced, innovative environment, contributing to a team that aims to make a significant impact in the medical and insurance tech space.
Possess good understanding on leveraging Azure's AI and machine learning services to deploy, monitor, and maintain ML models, ensuring high availability and performance.
Responsibilities:
Drive the rebuild and re-architecture of our entity classification system to have higher throughput, reliability and observability
Design with best practices in mind for growing and evolving company
Collaborate with other senior engineers to integrate the ML system into the broader Wisedocs platform.
Designing and implementing machine learning models to analyse and interpret large datasets of medical and insurance documents, enhancing our platform's decision-making and efficiency.
Developing robust, scalable backend services in Python, ensuring seamless integration with our AI/ML components and front-end systems.
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Sales Enablement Manager
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
3-5 years of experience in an Enablement role in a B2B SaaS company
Prior start-up experience, building an Enablement program from ground-up preferred
Knowledge of automation, process transformation, or AI-related domains a strong asset
Strong understanding of sales processes and methodologies
Strong analytical skills with the ability to interpret customer data, identify trends, and extract actionable insights
Other Requirements:
The ability to thrive in a fast-paced, dynamic environment
Excellent communication skills to connect with all layers within the organization
Extreme ownership
Responsibilities:
Empower Wisedocs' Go-To-Market teams to achieve exceptional results by providing them with the knowledge, resources, and tools they need to win.
Develop & Deliver: Develop and implement a comprehensive sales enablement strategy aligned with business goals
Create and curate high-impact sales content (e.g., decks, battle cards, demos), and design/deliver engaging training programs for GTM teams (sales, marketing, customer success).
Analyze & Optimize: Track key GTM metrics, analyze performance, identify areas for improvement, and report on the impact of enablement initiatives.
Collaborate: Partner with cross-functional teams (marketing, product, sales, customer success) to ensure alignment on messaging, product launches, and GTM strategies.
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Senior Enterprise Account Executive (Canada or US)
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
5+ years experience in an Enterprise Sales Role
You understand MEDDICC or another best in class sales methodology that you carry through with you
You are extremely competent and confident in your abilities
You are hitting quota.
Previous experience in the Insurance or Legal industries
Other Requirements:
Experience or understanding of Sales Tools including Hubspot
Comfortable attending events and travelling nationally
Very personable and comfortable striking up a conversation (including cold calling), and building relationships
Responsibilities:
Running a full lifecycle of an opportunity, from sourcing all the way through to close.
Running discovery call, demos, and negotiation calls.
Building a pipeline of opportunities and researching, engaging and qualifying prospective customers through calling, emailing, networking, social media and in person
Collaborate closely with our Customer Success organization to ensure a smooth hand off from sales to onboarding for our clients
Work cross functionally with teams including product and operations to provide consistent client and market feedback to the organization.
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Senior Enterprise Account Executive (Canada or US)
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
5+ years experience in an Enterprise Sales Role
You understand MEDDICC or another best in class sales methodology that you carry through with you
You are extremely competent and confident in your abilities
You are hitting quota.
Previous experience in the Insurance or Legal industries
Other Requirements:
Experience or understanding of Sales Tools including Hubspot
Comfortable attending events and travelling nationally
Very personable and comfortable striking up a conversation (including cold calling), and building relationships
Responsibilities:
Running a full lifecycle of an opportunity, from sourcing all the way through to close.
Running discovery call, demos, and negotiation calls.
Building a pipeline of opportunities and researching, engaging and qualifying prospective customers through calling, emailing, networking, social media and in person
Collaborate closely with our Customer Success organization to ensure a smooth hand off from sales to onboarding for our clients
Work cross functionally with teams including product and operations to provide consistent client and market feedback to the organization.
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Sr Back-end Developer
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
A hybrid model requiring on-site presence at least twice/week
Modern employee benefits, including health and dental coverage 100% company paid
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Experience Requirements:
A minimum of 5 years of experience as a Back-End Developer with extensive experience in Python, showcasing a deep understanding of the language
Proficiency in using Python frameworks such as Django or Flask
Experience with database systems like SQL or NoSQL
Strong familiarity with cloud platforms like AWS, Google Cloud, or Azure
An understanding of automation practices throughout the Agile development, build, and deployment phases of the application lifecycle
Other Requirements:
A robust problem-solving mindset; comfortable navigating frequently changing work items and scopes, and capable of managing multiple tasks efficiently
Responsibilities:
Designing, building, and maintaining efficient, reusable, and reliable Python code that powers our back-end systems and ML pipeline
Identifying and resolving performance and scalability issues, helping to improve the robustness of our system
Handling complex data structures and algorithms, ensuring the seamless processing of data in our system
Taking on additional responsibilities as needed, demonstrating flexibility and adaptability in a dynamic working environment
Creating comprehensive technical documentation for system components and architecture, thereby providing clarity on architectural decisions and engineering contributions across the team
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Sr Front-end Developer
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
A hybrid model requiring on-site presence at least twice/week
Modern employee benefits, including health and dental coverage 100% company paid
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Experience Requirements:
Must be proficient with Vue.js
A minimum of 3 years of experience as a Front-End Developer, with a strong understanding of user interface design and development
Proficiency in front-end languages and libraries like HTML, CSS, JavaScript, and React.js
Experience with database systems, such as SQL or NoSQL.
Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
Other Requirements:
Understanding of modern front-end build pipelines and tools, including CSS pre-processors like SASS or LESS.
Ability to work in an Agile environment, with an understanding of automation practices throughout the development, build, and deployment phases of the application lifecycle.
A flexible and proficient engineering mindset; comfortable navigating frequently changing work items and scopes, and capable of managing multiple simultaneous tasks efficiently.
Responsibilities:
Designing and implementing key front-end features for our automation platform and advanced machine learning engine.
Leading the creation of customer-centric features in response to growing client demand, tactfully enhancing our core product with additional benefits.
Drafting comprehensive documentation (Confluence) for system components and architecture, rationalizing architectural decisions and clarifying engineering contributions across the team.
Crafting front-end components with an emphasis on usability, performance, and adherence to best coding practices.
Adapting to dynamic workload by taking on additional responsibilities as needed, showcasing flexibility and adaptability.
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Machine Learning Engineering Manager
EvenUp uses AI to help personal injury lawyers create demand letters, manage medical chronologies, and improve case outcomes.
Benefits:
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees
Education Requirements:
Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred
Experience Requirements:
2 years of experience in a people management role with direct reports, excluding tech lead positions
Other Requirements:
Strong proficiency with the latest Large Language Model (LLM) technologies
High proficiency in a procedural programming language (e.g. Python)
Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders
Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members
Previous experience in the legal or healthcare technology fields is a plus, but not required
Responsibilities:
Develop and implement career progression frameworks to guide the growth of your direct reports
Provide mentorship, coaching, and resources to support the technical and career development of team members
Foster a culture of continuous learning and professional growth within the organization
Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad
Coordinate with cross-functional partners to align on product priorities and roadmap objectives
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Staff Machine Learning Engineer
EvenUp uses AI to help personal injury lawyers create demand letters, manage medical chronologies, and improve case outcomes.
Benefits:
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees
Education Requirements:
PhD in Machine Learning, Computer Science, or other quantitive field
Experience Requirements:
10+ years of experience in machine learning with multiple models deployed in operational settings
Other Requirements:
Strong proficiency with the latest Large Language Model (LLM) technologies
Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization
Strong communication, collaboration, and coaching skills
High proficiency in a procedural programming language (e.g. Python)
Ability to translate and apply cutting edge research into practical solutions
Strong leadership and mentorship abilities, with a passion for guiding and developing other team members
Responsibilities:
Stay on top of the latest advancements in ML and prompt engineering and direct the team to adjust direction accordingly
Build and deploy models in production that tangibly impact the lives of our customers
Help set team best practices on how prompting experimentation and development is done; design and implement efficient procedures for benchmarking and optimizing prompt performance
Provide technical leadership and mentorship for a highly skilled team of data scientists and machine learning engineers, guiding them in solving complex business problems
Act as a strategic advisor for leaders across the organization on driving business impact through machine learning
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Product Designer
EvenUp uses AI to help personal injury lawyers create demand letters, manage medical chronologies, and improve case outcomes.
Benefits:
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees
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Analytics Engineering Manager
EvenUp uses AI to help personal injury lawyers create demand letters, manage medical chronologies, and improve case outcomes.
Benefits:
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees
Experience Requirements:
7+ years of industry experience in software engineering, with experience working in a data-focused role
4+ years of people management experience
Proven experience in analytics, data engineering, or growth-related roles, with a track record of building and managing teams
Other Requirements:
Expertise in developing and scaling data infrastructures, including BI tools, data warehouses, and data modeling
Proficiency in integrating and utilizing customer behavior tracking tools (e.g., CDPs, Amplitude)
Strong experience with lifecycle marketing platforms, optimizing marketing campaigns across various channels
Ability to partner closely with cross-functional teams, including executives, to inform and track critical business metrics
Analytical mindset with the ability to use data to inform decisions and drive continuous improvement
Responsibilities:
Build and lead the Analytics Engineering team, developing the analytics stack, including Business Intelligence (BI), Data Warehouse, and Data Models from the ground up
Integrate user behavior tracking via Customer Data Platforms (CDP) and analytics tools like Amplitude to monitor and understand user actions
Establish and refine company-wide planning processes by implementing clear objectives and key results (OKRs), ensuring that success metrics are well-defined and tracked
Optimize data models to increase the number of actionable insights generated, striving to reduce redundant requests and streamline reporting
Collaborate closely with the executive team to identify and monitor critical business metrics, surfacing opportunities and areas for improvement
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Backend Software Engineer, Demands Product Engineering
EvenUp uses AI to help personal injury lawyers create demand letters, manage medical chronologies, and improve case outcomes.
Benefits:
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees
Experience Requirements:
Extensive experience in building frameworks, libraries, and distributed systems with an eye for reliability, observability, and performance
Proven proficiency in software development, with hands-on experience in Python or other programming languages such as Go, Java, Node.js or C++
Other Requirements:
Ability to craft and deliver high-quality software solutions, including production-ready code, RESTful APIs, and managing infrastructure to industry standards
Track record of successfully delivering complex projects with clear, structured thinking and leadership from concept to deployment
Experience working in dynamic, fast-paced environments, such as startups, thriving in collaborative, growth-oriented settings
Excellent communication skills, with the ability to collaborate effectively with cross-functional teams from diverse backgrounds
Strong ownership and personal accountability which are driven by your problem-solving skills, creativity, and initiative in driving projects to completion
Experience in AI, legal tech, or social impact projects
Responsibilities:
Rapidly prototype and deliver innovative, zero-to-one solutions by developing and integrating AI-powered features into end-to-end AI workflows, ensuring a balance between cutting-edge technology and practical implementation to meet customer needs
Collaborate with our founders, product managers, and designers to brainstorm, scope, and realize new features
Establish best practices for architecture, coding, and delivery while scoping, leading, and building user-facing experiences, services, APIs, and systems
Deliver secure, compliant code for sensitive data, ensuring quality through testing, reviews, and standards adherence while monitoring, debugging, and optimizing performance across the stack
Mentor team members by providing feedback on code and design, while actively contributing to team culture, retrospectives, and continuous improvement efforts
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Backend Software Engineer, Medical Chronologies Product Engineering
EvenUp uses AI to help personal injury lawyers create demand letters, manage medical chronologies, and improve case outcomes.
Benefits:
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees
Experience Requirements:
Extensive experience in building frameworks, libraries, and distributed systems with an eye for reliability, observability, and performance
Proven proficiency in software development, with hands-on experience in Python or other programming languages such as Go, Java, Node.js or C++
Other Requirements:
Ability to craft and deliver high-quality software solutions, including production-ready code, RESTful APIs, and managing infrastructure to industry standards
Track record of successfully delivering complex projects with clear, structured thinking and leadership from concept to deployment
Experience working in dynamic, fast-paced environments, such as startups, thriving in collaborative, growth-oriented settings
Excellent communication skills, with the ability to collaborate effectively with cross-functional teams from diverse backgrounds
Strong ownership and personal accountability which are driven by your problem-solving skills, creativity, and initiative in driving projects to completion
Experience in AI, legal tech, or social impact projects
Responsibilities:
Contribute to end-to-end AI workflows by integrating traditional SaaS with AI applications, and rapidly prototyping zero-to-one features for customer needs, all while balancing innovation with pragmatism
Collaborate with our founders, product managers, and designers to brainstorm, scope, and realize new features
Establish best practices for architecture, coding, and delivery while scoping, leading, and building user-facing experiences, services, APIs, and systems
Deliver secure, compliant code for sensitive data, ensuring quality through testing, reviews, and standards adherence while monitoring, debugging, and optimizing performance across the stack
Mentor team members by providing feedback on code and design, while actively contributing to team culture, retrospectives, and continuous improvement efforts
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