Design and build APIs and backend services that power AI-driven product experiences
Develop systems that integrate LLMs and ML models into production workflows
Build and maintain data pipelines supporting training, inference, and evaluation
Partner closely with ML Engineers, Data Scientists, and Product to ship end-to-end features
Improve system performance, reliability, and scalability across services
Contribute to experimentation and feedback loops that improve model and product performance
Debug complex production issues and drive root cause resolution
Raise the bar on code quality, system design, and engineering standards

Requirements

5+ years of experience in software engineering, with strong backend focus
Strong proficiency in Python and experience building production-grade systems
Experience designing APIs and service-oriented architectures
Experience working with ML/AI systems in production environments (LLMs, ranking, recommendations, or similar)
Familiarity with databases (SQL and/or NoSQL) and data-intensive systems
Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure
Exposure to containerization and orchestration (Docker, Kubernetes)
Ability to operate in ambiguity and take ownership of loosely defined problems
Strong product mindset with focus on real user outcomes
Clear communication and ability to collaborate across engineering, ML, and product

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonAPI designservice-oriented architectureML systemsLLMsdatabasesSQLNoSQLcloud platformscontainerization

Soft Skills

ownershipproblem-solvingproduct mindsetcommunicationcollaboration