Applied AI Engineer

Що робити

Design and ship agents — the core of the role: planning, tool use, memory, and guardrails, orchestrated with LangChain/LangGraph, exposed via MCP where it fits, running behind a provider-abstraction layer with model routing and cost control
Build product features end to end — from the front end through backend services to the model call in the cloud
Set up and tune retrieval: ingestion, chunking, retrieval quality, reranking, and grounded generation with citations
Evolve the content-generation pipeline: grounded generation from ingested sources, structured outputs that survive provider differences, and accuracy checks that keep generated material true to source
Develop hands-on lab environments in a sandboxed execution platform: mock APIs, auto-verification harnesses that grade learner work, and managed multi-provider model access with per-user budgets

4+ years in software engineering, with production systems you can walk through end to end
1+ years shipping production LLM applications — agents, tool use, retrieval — with hands-on work across at least two of the three major platforms (Anthropic, OpenAI, Google)
Depth in agent development: tool use, memory, multi-step orchestration, and MCP — you've built and debugged MCP servers, not just consumed them
Claude Code as a daily working tool, plus working fluency with the OpenAI API and Gemini — or a demonstrated ability to get there fast, since the abstractions matter more than any single SDK
Evaluation fluency: task datasets, deterministic and model-based graders, regression suites. "I tested it manually and it looked fine" is an unfinished sentence

Experience with TypeScript/Node/React
Provider certifications (Anthropic, OpenAI, or Google Cloud AI) or demonstrable equivalent depth
Experience with learning platforms, developer education, or technical enablement
Experience with LLM gateway/routing layers, structured-output schemas across providers, or multi-model evaluation tooling
Public evidence of technical judgment: open-source contributions, technical writing, or talks

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