Responsibilities
- Integrate and work with LLMs (OpenAI, Anthropic, Mistral);
- Build RAG pipelines (chunking, embeddings, retrieval);
- Use LangChain / LlamaIndex;
- Develop Python backend services (FastAPI/Flask);
- Apply ML/DL models (Transformers, classical ML);
- Work on NLP tasks (classification, NER, summarization);
- Contribute to Computer Vision tasks when needed;
- Work with vector DBs and traditional databases;
- Deploy and maintain services (Docker, CI/CD, cloud).
Basic qualifications
- 2+ years of commercial experience with Python;
- Hands-on experience with LLMs and prompt engineering;
- Understanding of RAG, embeddings, token/context management;
- Experience with FastAPI/Flask, async, SQLAlchemy;
- Experience with ML/DL (PyTorch / TensorFlow / sklearn);
- Experience with NLP (Hugging Face, transformers);
- Experience with databases (SQL/NoSQL + vector DBs);
- Familiarity with Docker, CI/CD, cloud;
- Focus on code quality (testing, typing, linters);
- Upper-Intermediate English lever o higher.
Benefits
- Flexible working hours;
- 25 paid days off and 10 sick/medical leaves;
- Additional paid days off for personal events like marriage and childbirth;
- Maternity/Paternity leaves;
- Skills Evaluations and promotions are based on Corporate Matrix;
- Discount program;
- Self-development budget per year;
- Referral bonuses;
- Corporate events and gifts;
- Learning events and mentorship opportunities;
- Speaking Clubs;
- PE accounting and support.
Tags & focus areas
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