Senior AI Engineer

Teamvoy • Дистанційно, UA

Actively Hiring

Full-time Posted 2 months ago

Responsibilities

check_circle Build new applications and backend services using an AI agent-driven workflow (Claude Code, Codex, Cursor, MCP-based setups)
check_circle Direct and review work produced by AI coding agents — specs, plans, diffs, tests
check_circle Design AI-powered features: RAG, prompt orchestration, structured outputs, function calling
check_circle Architect agent-friendly codebases — clear contracts, testability, modular services
check_circle Instrument observability, monitoring, and debugging across services and AI workflows
check_circle AI safety practices, prompt-injection defenses
check_circle Optimize cost, latency, and inference performance
check_circle Partner with Product, Design, and Engineering on discovery and delivery

5+ years in commercial software engineering, strong Python/JAVA/RoR backend
2+ years building production LLM-powered applications
Daily, high-output use of AI coding agents (Claude Code, Codex, Cursor, or similar)
Working knowledge of agent orchestration frameworks (LangChain, LangGraph, CrewAI, Pydantic AI, MCP) — enough to design with them, even if you don't operate them daily
Modern LLMs (Claude, GPT, Gemini), prompt engineering, structured outputs, function calling
Production RAG and vector DBs (pgvector, Pinecone, Weaviate, Chroma)
Software architecture: APIs, async, queues, distributed systems
Cloud (AWS, Azure, or GCP) and cloud AI (Bedrock, Azure OpenAI, Vertex AI)
LLM observability (LangSmith, Langfuse, Arize, Helicone, OpenTelemetry)
Upper-Intermediate+ English level; Native-level Ukrainian language

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