AI Engineer

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appflame

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AI Infrastructure

Agentic Frameworks

Tech Stack

About the Role

appflame (AF) is a Ukrainian tech company with 500+ employees, ranked 5th employer in Ukraine (Forbes 2025). They are hiring an AI Engineer to develop an AI-powered productivity analytics platform.

Responsibilities

  • Design and develop an AI-powered productivity analytics platform with data pipeline architecture
  • Build scalable LLM pipelines using Claude and GPT APIs with data chunking and MapReduce parallel processing
  • Create meta-workflow systems where LLMs generate, test, and deploy automation scripts with self-correction
  • Develop prompt engineering libraries for analytical scenarios
  • Build quality control frameworks including hallucination detection and consistency scoring
  • Scale platform to new domains through configuration-based architecture
  • Document AI architecture and present insights to stakeholders

Requirements

  • 2+ years working with LLMs in production; minimum 1 year with advanced features (tool use, agents)
  • Strong Python proficiency (async, dataclasses, type hints, API integrations)
  • MapReduce pattern understanding for LLM processing
  • Agentic systems experience with self-correcting loops and multi-agent workflows
  • SQL and analytical database proficiency (PostgreSQL, ClickHouse)
  • C1 English level for technical communication
  • End-to-end ownership mentality

Preferred

  • Orchestration platforms (Windmill, Dagster, Prefect)
  • RAG architectures, vector databases
  • LLM evaluation systems (LangSmith, PromptFoo)
  • Databricks/Delta Lake or Snowflake
  • TypeScript/JavaScript, LangChain, LlamaIndex

Core tech: Python, SQL, Claude API, OpenAI API, PostgreSQL, ClickHouse, Docker, FastAPI, Pydantic, pytest, asyncio

Remote, Ukraine-based. Hiring process: recruiter outreach, interview, test task, final interview, offer.

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