AI Jobs
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Senior Mechanical Engineer
Streamline supply chain logistics and improve site safety for enterprise fleets by deploying autonomous yard operations that integrate robotics and software.
Benefits:
Relocation assistance offered
Equity package commensurate on experience and skills
Full health benefits
Education Requirements:
BS or MS in mechanical engineering, industrial engineering, computer science, computer engineering, electrical/electronics engineering, or a similar discipline
Experience Requirements:
5+ years of experience with integrated software/hardware systems
Experience designing complex electro-mechanical and pneumatic systems
Experience working with linear and rotary actuators
Experience designing and documenting machined parts
Experience creating and maintaining detailed mechanical drawings
Other Requirements:
Candidates must be legally authorized to work in the United States without employer sponsorship
Ability to perform finite element analysis
Experience using basic shop equipment
Strong technical analysis skills
Responsibilities:
Design and maintain parts and complex CAD assemblies
Brainstorm and prototype electro-mechanical and pneumatic tools
Lead reliability initiatives by analyzing failure modes
Work with vendors and select components based on design analysis
Collaborate with software team members
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Senior Hybrid Cloud Optimization Consultant
Streamline supply chain logistics and improve site safety for enterprise fleets by deploying autonomous yard operations that integrate robotics and software.
Experience Requirements:
Proven experience in designing and optimizing hybrid cloud architectures
Success in identifying and achieving significant cost savings
Expertise in FinOps principles
Experience optimizing infrastructure for MLOps components
Understanding of efficient resource scaling for ML workloads
Other Requirements:
Deep expertise in major public cloud platforms
Deep understanding of containerization and orchestration technologies
Excellent communication skills
Ability to articulate complex technical and financial concepts
Responsibilities:
Develop and Optimize Hybrid Cloud Strategy
Collaborate on Implementation
Ensure Efficient Operations
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Engineering Manager (Brazil)
Automate customer lifecycles on WhatsApp with AI-powered sales agents, personalized marketing flows, and 24/7 support to drive conversions for retail brands.
Benefits:
Work directly with the CTO
Competitive compensation and equity participation
Unlimited time off and flexible working hours
Hybrid work culture
Education Requirements:
MS or BS in Computer Science
Experience Requirements:
8+ years of software engineering experience
3+ years in management or tech lead roles
Proven experience leading teams of 10–20 engineers
Other Requirements:
Strong understanding of backend and AI systems
Experience engaging with enterprise clients
Responsibilities:
Lead, grow, and retain a high-performing engineering organization
Provide technical leadership and define strategy in partnership with the CTO
Stay hands-on with technology to guide design and code reviews
Own the quality, reliability, and performance of the product
Drive engineering processes like sprint planning and technical reviews
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EU GO Senior Software Engineer
Automate customer lifecycles on WhatsApp with AI-powered sales agents, personalized marketing flows, and 24/7 support to drive conversions for retail brands.
Benefits:
Work alongside an exceptional, mission-driven team
Competitive compensation with equity participation
Unlimited time off and flexible working hours
Remote-first culture across the EU
Education Requirements:
BS or MS in Computer Science or related technical field
Experience Requirements:
5+ years of experience in hands-on software engineering roles
Proven track record building and scaling enterprise systems using Go, AWS, Kafka, Postgres, and DynamoDB
Other Requirements:
Experience with Python is a plus
Experience with frontend engineering is a plus
Prior experience with WhatsApp conversational applications is a strong plus
Responsibilities:
Design, build, and maintain distributed backend systems using Go
Collaborate cross-functionally to define user journeys and performance goals
Own critical parts of Connectly’s platform infrastructure
Ensure reliability, observability, and operational excellence
Mentor teammates and contribute to code reviews
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Senior Software Engineer (Brazil)
Automate customer lifecycles on WhatsApp with AI-powered sales agents, personalized marketing flows, and 24/7 support to drive conversions for retail brands.
Benefits:
Work alongside an exceptional team
Competitive compensation with equity participation
Unlimited time off and flexible working hours
Hybrid work opportunities
Education Requirements:
BS or MS in Computer Science or related technical field
Experience Requirements:
5+ years of experience in hands-on software engineering roles
Proven track record building and scaling enterprise systems using Python, AWS, Kafka, Postgres, and DynamoDB
Other Requirements:
Experience with frontend engineering is a plus
Prior experience with conversational AI applications is a strong plus
Responsibilities:
Design, build, and launch production-grade conversational AI solutions
Collaborate cross-functionally to define user journeys and metrics
Experiment with AI-driven features like LLM-based agents
Develop and maintain backend systems for scalability
Mentor teammates and uphold engineering best practices
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Senior Software Engineer (Colombia)
Automate customer lifecycles on WhatsApp with AI-powered sales agents, personalized marketing flows, and 24/7 support to drive conversions for retail brands.
Benefits:
Work alongside an exceptional team
Competitive compensation with equity participation
Unlimited time off and flexible working hours
Hybrid work opportunities
Education Requirements:
BS or MS in Computer Science or related technical field
Experience Requirements:
5+ years of experience in hands-on software engineering roles
Proven track record building and scaling enterprise systems using Python, AWS, Kafka, Postgres, and DynamoDB
Other Requirements:
Experience with frontend engineering is a plus
Prior experience with conversational AI applications is a strong plus
Responsibilities:
Design, build, and launch production-grade conversational AI solutions
Collaborate cross-functionally to define user journeys and metrics
Experiment with AI-driven features like LLM-based agents
Develop and maintain backend systems for scalability
Mentor teammates and uphold engineering best practices
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Senior Software Engineer (SF)
Automate customer lifecycles on WhatsApp with AI-powered sales agents, personalized marketing flows, and 24/7 support to drive conversions for retail brands.
Benefits:
Work alongside an exceptional team
Competitive compensation with equity participation
Unlimited time off and flexible working hours
Hybrid work opportunities
Education Requirements:
BS or MS in Computer Science or related technical field
Experience Requirements:
5+ years of experience in hands-on software engineering roles
Proven track record building and scaling enterprise systems using Python, AWS, Kafka, Postgres, and DynamoDB
Other Requirements:
Experience with frontend engineering is a plus
Prior experience with conversational AI applications is a strong plus
Responsibilities:
Design, build, and launch production-grade conversational AI solutions
Collaborate cross-functionally to define user journeys and metrics
Experiment with AI-driven features like LLM-based agents
Develop and maintain backend systems for scalability
Mentor teammates and uphold engineering best practices
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Staff AI engineer
Automate customer lifecycles on WhatsApp with AI-powered sales agents, personalized marketing flows, and 24/7 support to drive conversions for retail brands.
Benefits:
Direct impact on the company’s technical and AI strategy
Competitive compensation and equity participation
Unlimited time off and flexible working hours
Hybrid work culture
Education Requirements:
MS or BS in Computer Science
Experience Requirements:
10+ years of software engineering experience
Proven track record of launching customer-facing AI products using LLMs
Experience leading technical strategy or architecture initiatives
Other Requirements:
Expertise in model fine-tuning and prompt engineering
Strong understanding of distributed systems and inference optimization
Responsibilities:
Define and execute the technical strategy for the AI platform
Architect and build production-grade AI systems
Lead technical alignment across AI and infrastructure teams
Design evaluation frameworks for AI model quality and latency
Serve as a hands-on technical mentor
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Forward Deployed Engineer, Intern - Campus Recruiting 2026
Build, deploy, and manage enterprise-grade AI at scale with a unified platform that centralizes data science workflows for teams in life sciences and finance.
Benefits:
Equity
Company bonus or sales commissions/bonuses
401(k) plan
Medical, dental, and vision benefits
Wellness stipends
Education Requirements:
Graduating in Spring 2027 or later, pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field
Experience Requirements:
Passion for AI/ML, data science, and its real-world applications
Experience coding in at least one industry-standard programming language (Python or R strongly preferred)
Strong communication and problem-solving skills
Interest in customer-facing work
Other Requirements:
Growth mindset
Ability to work with the spirit of a startup
Responsibilities:
Spend 10–12 weeks working directly with customers and teams
Write code, design solutions, and support real-world, high-stakes environments
Blend software engineering skills with customer empathy and domain awareness
Contribute to impactful and visible projects
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Staff Performance Quality Engineer
Build, deploy, and manage enterprise-grade AI at scale with a unified platform that centralizes data science workflows for teams in life sciences and finance.
Benefits:
Equity
Company bonus or sales commissions/bonuses
401(k) plan
Medical, dental, and vision benefits
Wellness stipends
Experience Requirements:
Experience owning or extending complex automation platforms (performance/load testing, CI systems)
Strong Python skills and automation-heavy codebase work
Hands-on experience with distributed systems and reliability engineering
Scaling cloud-based infrastructure
Familiarity with Kubernetes and modern cloud-native tooling
Other Requirements:
Clear ownership mindset
Self-directed and accountable
Responsibilities:
Serve as technical owner of Tempest, Domino’s scale testing platform
Evolve and modernize scale testing infrastructure
Deliver accurate, data-driven sizing recommendations for documentation
Introduce repeatable, automated validation criteria for diagnostics
Establish and operationalize scale testing on cloud platforms
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Staff Software Engineer, Governance
Build, deploy, and manage enterprise-grade AI at scale with a unified platform that centralizes data science workflows for teams in life sciences and finance.
Benefits:
Equity
Company bonus or sales commissions/bonuses
401(k) plan
Medical, dental, and vision benefits
Wellness stipends
Experience Requirements:
5+ years of experience in backend development (Hadoop, Spark, Kafka)
Experience in API design (RESTful, GraphQL) and integration
Proficiency in Java, Scala, Go, or Python
Skilled in cloud environments (Docker, Kubernetes, CI/CD)
Experience building production grade software
Other Requirements:
Understanding of service-oriented architecture (SOA)
Ability to work independently
Responsibilities:
Design and develop software for Governance features
Extend and contribute to open-source software powering Domino
Create technical designs and communicate to stakeholders
Enable fellow engineers through design and code reviews
Work with product managers to plan and deliver solutions
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Staff Software Engineer, MDLC
Build, deploy, and manage enterprise-grade AI at scale with a unified platform that centralizes data science workflows for teams in life sciences and finance.
Benefits:
Equity
Company bonus or sales commissions/bonuses
401(k) plan
Medical, dental, and vision benefits
Wellness stipends
Experience Requirements:
Experience developing high-performance back-end systems in distributed environments
Expertise in Python, Java, Scala, or Go
Designing and implementing secure, scalable APIs (RESTful, gRPC)
Performance optimization in cloud or containerized environments
Familiarity with model registries (MLflow, KubeFlow) is a plus
Other Requirements:
Proficiency with major cloud providers (AWS, Azure, GCP)
Experience with Apache Spark, Azure ML, or SageMaker is a plus
Responsibilities:
Integrate model monitoring for deployment health
Enhance tagging capabilities across Domino entities
Expand LLM hosting capabilities for scale and logging
Innovate within the Domino Apps offering
Build and manage systems for the machine learning journey
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Staff/Principal Software Engineer, Life Sciences (Tech Lead)
Build, deploy, and manage enterprise-grade AI at scale with a unified platform that centralizes data science workflows for teams in life sciences and finance.
Benefits:
Equity
Company bonus or sales commissions/bonuses
401(k) plan
Medical, dental, and vision benefits
Wellness stipends
Experience Requirements:
Backend expertise in regulated scientific or clinical workflows
Architectural leadership and strong systems thinking
Proficiency in Java, Scala, Go, or Python
Experience operating production systems in the cloud (AWS, Azure, or GCP)
Experience with distributed or HPC-backed compute is a plus
Other Requirements:
Ability to lead through influence and collaboration
Fluency in turning regulatory complexity into durable solutions
Responsibilities:
Architect durable APIs and event models for pharmaceutical workflows
Lead the re-design of information architecture for lineage and auditability
Drive architectural improvements to support larger datasets and concurrency
Establish patterns for hybrid and HPC-backed execution
Align engineers and domain experts around a shared architectural vision
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Knowledge Engineer
Automate complex decision-making in regulated industries using deterministic symbolic reasoning to eliminate hallucinations and ensure full auditability.
Benefits:
Competitive package based on experience
Training and support to become an AI expert
Flexible working policy
Friendly and collaborative team
Access to market leading technology
Experience Requirements:
Expertise in business analysis
Experience in process modelling or BPM
Stakeholder management and client engagement
Experience working with APIs (REST/JSON)
Experience working in an agile environment
Other Requirements:
Understanding of knowledge graphs and semantic technologies
Familiarity with Large Language Models (LLMs)
Skilled in documentation and report writing
Ability to travel (up to 10%)
Responsibilities:
Capture and interpret business knowledge to develop AI models
Engage with clients to implement Rainbird in projects
Discover and document project blueprints and 'excelerators'
Build field demos, PoCs, and pilots for sales
Deliver coaching and training to clients and partners
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Senior Knowledge Engineer
Automate complex decision-making in regulated industries using deterministic symbolic reasoning to eliminate hallucinations and ensure full auditability.
Benefits:
Competitive pay
Generous holiday allowance
Remote-first culture
Growth & learning
Impactful work
Education Requirements:
Degree in a logic, analytical, or consulting-oriented field
Experience Requirements:
2–4 years in consulting, implementation, or business analysis
Experience delivering software in enterprise environments
Experience with rules engines or BPM platforms
Domain experience in highly regulated industries
Mentoring colleagues and leading training
Other Requirements:
Strong understanding of LLMs and prompt-engineering
Excellent analytical and debugging skills
Ability to manipulate JSON and XML formats
Highly organised and self-motivated
Responsibilities:
Capture knowledge via workshops and expert interviews
Lead end-to-end Rainbird platform implementations
Build reasoning graphs, workflows, and test suites
Act as a Rainbird platform expert and champion
Support hiring, onboarding, and mentoring of the team
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Solutions Engineer
Automate complex decision-making in regulated industries using deterministic symbolic reasoning to eliminate hallucinations and ensure full auditability.
Benefits:
Competitive package
Remote work with flexible arrangements
Innovative and collaborative scale-up culture
Shape customer platform interaction
Work at intersection of AI and enterprise automation
Experience Requirements:
Previous experience in a customer-facing technical role
Experience designing and implementing technical solutions
Proficiency in Python, JavaScript/Node.js, or Go
Practical experience with cloud platforms (AWS, GCP, Azure)
Experience with data transformation and ETL processes
Other Requirements:
Knowledge of API development and RESTful services
Understanding of authentication protocols (OAuth, JWT)
Experience with containerization (Docker, Kubernetes)
Exceptional communication skills
Responsibilities:
Design and deliver seamless integrations for client ecosystems
Translate ambiguous requirements into tangible solutions
Implement integration architectures and custom data layers
Build connectors and middleware for third-party systems
Develop proof-of-concept implementations and technical prototypes
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Software Engineer
Automate complex decision-making in regulated industries using deterministic symbolic reasoning to eliminate hallucinations and ensure full auditability.
Benefits:
25 days annual leave plus bank holidays
Birthday leave
Holiday trading scheme
YuLife membership and wellness rewards
Flexible working hours
Experience Requirements:
Full-stack software development experience
JavaScript/TypeScript proficiency (Node.js/React)
Experience with Go
Familiarity with containerized applications (Kubernetes)
Experience with cloud infrastructure (AWS)
Other Requirements:
Solid understanding of software architecture and scalability
Familiarity with DevOps tooling (Terraform, CI/CD)
Experience with relational databases (MySQL/PostgreSQL)
Effective communicator and team player
Responsibilities:
Design and develop scalable features for the platform
Work across frontend (React) and backend (Node.js, Go) codebases
Contribute to DevOps practices and IaC processes
Participate in code reviews and architecture discussions
Support internal innovation, including LLM integrations
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Software Test Engineer
Automate complex decision-making in regulated industries using deterministic symbolic reasoning to eliminate hallucinations and ensure full auditability.
Benefits:
25 days annual leave plus bank holidays
Birthday leave
YuLife membership
Health benefits (eye test, flu vouchers)
Flexible working hours
Experience Requirements:
1-2 years of experience in manual software testing
Experience in programming (Node.js, Typescript, Python, or Go)
Experience working in an Agile/Scrum environment
Experience with testing frameworks (Playwright preferred)
Testing products linked to AI
Other Requirements:
Desire to develop automated tests
Strong verbal and written communication skills
Excellent attention to detail
Initiative and creativity to discover bugs
Responsibilities:
Use exploratory testing techniques for new features
Maintain and expand automated end-to-end test suites
Isolate bugs and provide detailed step-by-step instructions
Fix frequently failing or flaky automated tests
Work with developers to debug problematic code
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Year in Industry Placement – Software Engineering
Automate complex decision-making in regulated industries using deterministic symbolic reasoning to eliminate hallucinations and ensure full auditability.
Benefits:
25 days annual leave (pro rata)
Dedicated mentor and engineering support
Flexible working hours
YuLife membership
Training and learning resources
Education Requirements:
Studying towards a degree in Computer Science or Software Engineering
Enrolled on an accredited Year in Industry placement
Experience Requirements:
Foundational knowledge of programming concepts
Familiarity with web technologies (HTML, CSS, JavaScript)
Experience with Git (Desirable)
Interest in AI or knowledge-based systems
Experience with JS/TS, React, or Node.js (Desirable)
Other Requirements:
Genuine enthusiasm for learning
Ability to manage time in a remote environment
Collaborative team player
Responsibilities:
Contribute to platform features using React and Node.js/Go
Participate in agile processes (planning, standups, retros)
Learn and apply DevOps and CI/CD practices
Collaborate via code reviews and pair programming
Work on documentation and testing for platform quality
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Senior Database Engineer
Optimize automotive stock management with AI-powered appraisal, precision pricing, and automated merchandising tools designed to increase turn rates for dealerships.
Experience Requirements:
6+ years of experience in data engineering, database administration, or infrastructure roles
Other Requirements:
Deep understanding of data architecture, performance tuning, and high-availability systems
Strong communication skills with the ability to mentor and inspire
Self-starter who thrives with minimal supervision and takes full ownership of responsibilities
Knowledge of AWS (RDS, Redshift, Glue) and Azure (SQL VMs, Synapse, Data Factory)
Scripting knowledge in PowerShell, Python, or Bash
Responsibilities:
Architect, monitor and manage data platforms in AWS, Azure and Private Clouds
Design and maintain robust ETL/ELT pipelines using tools like Airflow, Kafka, Debezium, Qlik
Develop and maintain automation scripts using PowerShell and other scripting languages
Implement CI/CD pipelines for data infrastructure and code deployments
Collaborate with application teams to modernize legacy systems and integrate new platforms
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