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AI Engineer

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Requirements:

  • Strong Python (typing, tests, packaging) and web/service basics (FastAPI, Docker).
  • Hands-on building LLM apps with one or more: LangChain, LangGraph, AutoGen, Dify (or equivalents).
  • RAG end-to-end experience: corpus prep → embeddings → retrieval → re-rank → context assembly → measurable gains.
  • Evaluation mindset: design offline eval sets and release gates; reason about faithfulness vs relevancy; control p95 latency & $/session.
  • Cloud proficiency in AWS or Azure (using at least one in production).
  • Comfort with observability (OpenTelemetry/LangSmith/Prometheus/Grafana or similar).
  • English B2+; clear written & verbal client communication.

Responsibilities:

  • Design & build LLM applications: RAG over client KBs, multi-tool/agent graphs, prompt strategies, and voice UX (STT/TTS).
  • Implement retrieval & data flows: ingestion, chunking, metadata/embeddings, hybrid retrieval, re-ranking, caching.
  • Own evaluation & quality: latency/cost budgets, A/Bs.
  • Automate with n8n (or similar): connect services, data, and back-office workflows; expose reliable admin ops for non-engineers.
  • Ship pipelines: Airflow for orchestration; dbt for transformations/semantic layer where relevant.
  • Productionize: tracing/observability, feature flags, safe rollouts, secrets & config hygiene.
  • Collaborate with clients: discover scope, explain trade-offs, demo progress; optional presales spikes/estimates.

Nice to have:

  • Vector DBs: pgvector, Qdrant, Pinecone, Azure Cognitive Search (vector); rerankers (BGE/monoT5/Cohere/ColBERT).
  • Voice: Azure Speech, Whisper; VAD/barge-in, turn-taking logic.
  • Data stack: dbt, Airflow, event streams; data contracts.
  • Workflow: n8n design for non-tech ops; governance of low-code automations.
  • Frontend for AI UX (React/Next.js, TypeScript).
  • Compliance awareness for EdTech (FERPA/COPPA) and Healthcare (HIPAA/GDPR).

What we offer:

  • 🏘 Flexible work-from-home policy
  • 💰 Competitive salary and performance review
  • 👩‍💻 PE accounting and support
  • 🌴 18 paid vacation days per year
  • 💊 Unlimited paid sick days per year
  • 🍪 The system of bonuses (Sport/Health/Education)
  • 🔄 Expert community within the company
  • 📚 Paid courses and trainings, internal knowledge library
olesia
Tronkina Olesia

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