IT Craft
Опис
IT Craft invites an AI Python Developer to join the company.
Requirements:
* Core Software Engineering: 5 + years Python 3.x; strong proficiency with
FastAPI, Django or Flask; Git, unit testing, 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, LlamaIndex, CrewAI,
Semantic Kernel or similar;
* Vector Databases: Experience with FAISS, Milvus, Pinecone, Weaviate, Chroma,
pgvector (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 (FastAPI, Django
or Flask) — from data ingestion to inference APIs;
* Develop and fine-tune models (SFT, LoRA/QLoRA, RLHF) using PyTorch and modern
open-source tooling;
* Implement RAG pipelines: document parsing, embedding generation, vector
search and evaluation;
* Create chatbots / autonomous agents with frameworks such as LangChain,
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.);
* ML / Data Science: Hands-on 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!
Requirements:
* Core Software Engineering: 5 + years Python 3.x; strong proficiency with
FastAPI, Django or Flask; Git, unit testing, 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, LlamaIndex, CrewAI,
Semantic Kernel or similar;
* Vector Databases: Experience with FAISS, Milvus, Pinecone, Weaviate, Chroma,
pgvector (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 (FastAPI, Django
or Flask) — from data ingestion to inference APIs;
* Develop and fine-tune models (SFT, LoRA/QLoRA, RLHF) using PyTorch and modern
open-source tooling;
* Implement RAG pipelines: document parsing, embedding generation, vector
search and evaluation;
* Create chatbots / autonomous agents with frameworks such as LangChain,
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.);
* ML / Data Science: Hands-on 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!