Middle AI / ML Engineer G
Core
Designing and implementing AI-driven solutions, building reliable environments for coding agents, and integrating AI capabilities into software development workflows.
Role type
Middle AI/ML Engineer (Agentic AI & LLM applications)
Builds
LLM applications, RAG systems, agent workflows, and agent harnesses for development processes
Domain
Software Engineering, Artificial Intelligence, Large Language Models
Deliverable
production ML models
Required skills
LLM and RAG development, agent workflow orchestration, MCP integrations, agent harness configuration, Python, TypeScript/JavaScript, software architecture, cloud platforms (Azure/AWS/GCP), automated testing, agent governance
Preferred skills
technical presales, technical proposal preparation, technical seminars and training
Technologies
Codex, Claude Code, Cursor, Git, CI/CD, MCP
Responsibilities
Analyze engineering problems and define AI solution architectures; Develop LLM applications, RAG systems, and agent workflows; Build and configure agent harnesses and orchestrate sub-agents; Research and evaluate AI models and tools; Introduce AI best practices and agent governance; Prepare technical concepts and presales materials
Seniority
Middle, hands-on IC
