Key skills
DockerPythonAINLPRAGPytestCI/CD
About this role
Role Overview
- Collaborate closely with engineering, operations, and business stakeholders to understand workflows and identify pain points
- Design AI-driven solutions with measurable impact
- Translate complex requirements into scalable AI-enabled services and technical concepts
- Build and maintain scalable, production-grade AI services
- Own the full development lifecycle: architecture, implementation, testing, deployment, and monitoring
- Design rigorous evaluation strategies for AI output quality and retrieval accuracy
- Mentor junior team members on AI engineering, experimentation, and evaluation practices
Requirements
- 5+ years of experience in Software Engineering
- Strong exposure to AI, NLP, or Information Retrieval
- Proven experience building and operating AI solutions in production and enterprise environments
- Ability to bridge experimental Data Science workflows with reliable and maintainable software engineering practices
- Strong proficiency in modern Python (3.11+)
- Experience with Docker, CI/CD, testing frameworks (pytest)
- Experience with code quality tooling (ruff, mypy)
- Hands-on experience with LLMs, Prompt Engineering, RAG, GraphRAG, Vector databases / OpenSearch, AI evaluation pipelines
Tech Stack
- Docker
- Python
Benefits
- Flexible work arrangements
- Professional development