AI Jobs

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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