AI Developer
Core
Design, build, and operate production-ready multi-agent AI systems and agentic workflows for enterprise clients.
Role type
Senior Applied AI Developer (Systems & Architecture)
Builds
Scalable agentic systems, AI governance patterns, and production-ready enterprise solutions.
Domain
Enterprise AI, Cloud Infrastructure, Multi-Agent Systems
Deliverable
production ML models
Required skills
Python, Go, Multi-agent system design, Cloud-native architecture (AWS/GCP), API design (REST/GraphQL), Database design (SQL/NoSQL), AI SDKs, Observability, System scalability
Preferred skills
AI evaluation frameworks, MCP server development, RAG architectures, Vector databases, Inference cost optimization, AI coding agents, Docker, Kubernetes
Technologies
Python, Go, AWS, GCP, Docker, Kubernetes, MCP, Langfuse, SQL, NoSQL, REST, GraphQL, OAuth2, SAML, RBAC, LLM, Embedding Models, RAG, Claude Code, Copilot, Cursor, Windsurf, GitHub
Responsibilities
Assess AI opportunities vs conventional solutions; Design agentic systems with tool orchestration and human-in-the-loop workflows; Develop AI governance patterns (guardrails, auditability); Advance AI adoption via pilots and scalable implementations; Collaborate with cross-functional teams to deliver end-to-end solutions; Prototype and evaluate emerging AI technologies.
Seniority
Senior, hands-on IC
