remote IT Full time Ukraine Updated May 21 Requirements for a candidate Required skills Python - 4 years AI - 2 years LLMs - 2 years Experience in Prompt engineering Experience in RAG Experience in SQL Experience in PyTorch Experience in Pandas Experience in NumPy Languages English - Upper Intermediate Description Teamvoy is an AI engineering company specializing in production AI for fintech healthcare insurance and manufacturing. Founded in 2013 we take full ownership of delivery — architecture implementation compliance and long-term support — with senior engineers on every engagement. We hire people who want hard problems with real stakes KYC automation clinical data pipelines core banking AI and claims processing. The work ships to production. The engineers stay accountable for it. If that's the kind of role you're looking for we're hiring. We're hiring an AI / LLM Engineer to design and ship production-grade GenAI features end-to-end. You'll build RAG pipelines fine-tune models engineer prompts and agents and own evaluation and deployment — working alongside Product Design and Engineering on real customer problems. Strong Python hands-on LLM experience and a disciplined approach to evals are essential. Responsibilities Ship LLM-powered features using OpenAI Anthropic and open-source models Design RAG pipelines embeddings retrieval re-ranking vector DBs Engineer prompts structured outputs tool use and guardrails Fine-tune transformers with LoRA/QLoRA and PEFT methods Build evals to catch hallucinations and regressions Optimize models for latency cost and scale in production Prototype agents orchestration and emerging approaches Partner with Product Design and Engineering on AI delivery Requirements 2+ years hands-on with LLMs and applied AI in production 4+ years in software engineering strong Python Transformer architectures and the modern LLM ecosystem (OpenAI Anthropic Gemini Llama Mistral Qwen DeepSeek) LangChain LlamaIndex or similar LLM frameworks Production RAG embeddings retrieval vector DBs Prompt engineering structured outputs tool use Fine-tuning with PEFT (LoRA QLoRA) LLM evaluation and regression testing PyTorch or TensorFlow NumPy Pandas scikit-learn SQL (PostgreSQL or MS SQL Server) Upper-Intermediate+ English level Native-level Ukrainian language Nice to Have Multi-GPU training computer vision AI agents and orchestration (LangGraph CrewAI AutoGen) Production deployment on AWS Azure or GCP MLOps and monitoring (LangSmith W&B MLflow) Research publications or AI community involvement What We Offer Great company atmosphere and open communication 20 working days of vacation and 20 sick days Development support English classes Financial support for learning and sports Accounting support Membership in Lviv IT Cluster We actively support the Ukrainian Armed Forces and local humanitarian initiatives as part of our company mission.