Turn a promising prototype into something real - deploying models, automating pipelines, and building the infrastructure that connects to other engineering teams
Pair frequently with data scientists to understand their needs
Work across API development, cloud infrastructure, front-end demos, and automation
Help shape research & development priorities
Deploy LLM agent workflows from notebook prototypes to production services
Build and deploy front-end demos that illustrate new features
Pair with data scientists to build and deploy APIs

Requirements

3-5 years of software engineering experience, with a track record of building and deploying production services
Excellent Python programming skills
Some familiarity with TypeScript/JavaScript (ideally modern front-end frameworks like Next.js)
Strong foundations in software engineering best practices: requirements gathering, code review, testing, version control, documentation
Solid experience with AWS services (ECS, Lambda, S3, RDS, etc) and cloud infrastructure in general
Experience building and deploying APIs (REST or similar) that are consumed by other teams or services
Comfortable working with Docker and containerized deployments
Familiarity with CI/CD pipelines and automated testing
Reasonable fluency with data science terminology and tools
Deeply collaborative nature
Pragmatic approach to infrastructure

Benefits

A deep commitment to employee wellbeing, including policies such as 4 day workweek (same pay, Fridays off)
Unlimited annual leave
Wellbeing allowance
Vibrant, collaborative, empathetic work culture

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonTypeScriptJavaScriptNext.jsAWSECSLambdaS3RDSDocker

Soft Skills

collaborationpragmatic approachrequirements gatheringcode reviewtestingversion controldocumentation