Job AI/ML Python Developer

Job description

IT Craft invites an AI Python Developer to join the company.

Requirements:
Core Software Engineering: 3 + years Python 3.x; strong proficiency with FastAPI/Django, LangChain/LangGraph; Git, CI/CD, Docker.
Generative AI & LLMs: Practical knowledge of leading models (GPT, Claude, Gemini, Mistral, Llama, Qwen, etc); working with them via public APIs, self-hosting, or managed platforms (AWS Bedrock, Azure OpenAI, GCP Vertex).
LLM Techniques: Retrieval-Augmented Generation (RAG), Supervised Fine-Tuning (SFT), Parameter-Efficient Fine-Tuning (LoRA/QLoRA/PEFT), Reinforcement Learning from Human Feedback (RLHF), prompt engineering, and evaluation.
Chatbots & Agents: Designing multi-turn conversational flows, tool invocation, agent routing/orchestration with LangChain, LangGraph, LlamaIndex, or similar.
Vector Databases: Experience with FAISS, Milvus /Chroma / Pinecone / pgvector / S3 vector (indexing, similarity search, hybrid search).
MCP Servers: Building and integrating Model Context Protocol (MCP) servers to securely expose domain tools/functions to LLMs.
Automation Platforms:Advanced use of no-/low-code tools: n8n, Make (Integromat), Zapier (triggers, webhooks, custom modules).
Soft Skills: Ownership mindset, rapid prototyping, clear technical writing; English at Upper-Intermediate (B2) or higher.

Key Responsibilities:
Design & build end-to-end LLM workflows in Python — from data ingestion to inference APIs;
Implement RAG pipelines: document parsing, embedding generation, vector search, and evaluation;
Create chatbots / autonomous agents with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or CrewAI;
Expose tools via MCP servers so that external LLMs can invoke domain-specific actions;
Integrate no-/low-code automation (n8n, Make, Zapier) to orchestrate business workflows;
Write clean, test-driven code; set up CI/CD; monitor, log, and continuously improve model performance and system reliability.

Nice to Have:
Experience with data privacy & compliance (GDPR, SOC 2);
Operate in cloud & on-prem (Docker, GPU instances, AWS Bedrock/Azure OpenAI, self-hosted LLMs, etc.);
Hands-on experience with TensorFlow, PyTorch, NumPy, Pandas; ability to train, fine-tune, and evaluate ML/LLM models.
Familiarity with front-end stacks (React/Next.js, TypeScript) for building AI-powered user interfaces;
Bonus: Experience in Generative Graphics, including Stable Diffusion, Inpainting techniques, and ControlNets;
Bonus: Experience in LLM hosting and working with llama.cpp.

IT Craft offers:
Competitive compensation according to the qualifications.
Flexible working hours, remote work;
Opportunity for career growth;
Reward for sport activities;
In-house English training;
A friendly team of open-minded people.
Please send your CV!
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