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Mid-Level Python Developer (GenAI)

Формат работы
remote (только Bulgaria)
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Mid-Level Python Developer (GenAI) (Python/LLM/RAG): Building production-grade AI and agentic features for client applications with an accent on stateful agent workflows, API integration, and retrieval-augmented generation. Focus on connecting LLMs to external systems, implementing safeguards and observability, and delivering reliable AI components with backend and QA teams.

Location: Sofia, Bulgaria

Company

hirify.global is part of the Sopra Steria Group, providing software engineering, digital transformation, and business consulting services to customers across Germany and the DACH region.

What you will do

  • Build stateful agentic workflows, prompt templates, and tool-calling flows using frameworks such as LangGraph.
  • Integrate LLMs and AI agents with internal and external APIs, databases, and third-party tools.
  • Develop and optimize RAG pipelines using vector databases and structured outputs.
  • Implement safeguards for user-facing AI features, including rate limiting, content moderation, and guardrails.
  • Apply prompt evaluation, tracing, and monitoring practices to improve the reliability of AI components.
  • Collaborate with backend engineers and QA to integrate GenAI features into product architectures.

Requirements

  • Hands-on experience building agentic or LLM-driven workflows with LangGraph, LangChain, LlamaIndex, or similar frameworks.
  • Practical experience integrating LLM APIs and provider platforms such as OpenAI, Anthropic, or Google Vertex AI.
  • Experience with vector databases and retrieval patterns, including Pinecone, Weaviate, or pgvector.
  • Strong async Python skills and experience building REST APIs with FastAPI.
  • Familiarity with AI guardrails, evaluation techniques, and observability tools such as Langfuse or MLflow.
  • Professional English fluency is required.

Nice to have

  • Experience with AI coding tools such as GitHub Copilot or Cursor.
  • Familiarity with tool-calling standards or protocols such as MCP or A2A.
  • Experience with Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with modern Python tooling such as uv, Poetry, or Ruff.
  • German language skills at B2+ level.

Culture & Benefits

  • International projects and collaboration with engineering squads across Germany and the DACH region.
  • Continuous professional and personal development opportunities.
  • Open communication and approachable leadership.
  • Food vouchers, 26 days of annual paid leave, and comprehensive health, life, and travel insurance.
  • Professional training programmes, Multisport cards, and modern office facilities near Metro Station G.M. Dimitrov.

Hiring process

  • Applications are reviewed individually, with potential matches contacted within the following week.
  • The process may include a job-related case study or practical assessment evaluated against standardized role-specific criteria.

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