Job VC
Middle AI/ML Engineer (Python, LLM, NLP/CV)
Technologies
Description
We’re looking for a
Middle AI/ML Engineer
(Python, LLM, NLP/CV) to build and scale AI-powered products end-to-end — from model design and experimentation to production-ready APIs and infrastructure.
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).
REQUIREMENTS:
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.
NICE TO HAVE:
Experience with CV tools and frameworks (OpenCV, YOLO, EfficientDet or similar);
Experience with hybrid search (vector + keyword/BM25);
Experience with Kubernetes or monitoring tools.
MAIN 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;
Medical insurance;
Discount program;
Self-development budget per year;
Referral bonuses;
Corporate events and gifts;
Learning events and mentorship opportunities;
Speaking Clubs;
PE accounting and support.
Middle AI/ML Engineer
(Python, LLM, NLP/CV) to build and scale AI-powered products end-to-end — from model design and experimentation to production-ready APIs and infrastructure.
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).
REQUIREMENTS:
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.
NICE TO HAVE:
Experience with CV tools and frameworks (OpenCV, YOLO, EfficientDet or similar);
Experience with hybrid search (vector + keyword/BM25);
Experience with Kubernetes or monitoring tools.
MAIN 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;
Medical insurance;
Discount program;
Self-development budget per year;
Referral bonuses;
Corporate events and gifts;
Learning events and mentorship opportunities;
Speaking Clubs;
PE accounting and support.