Job VC
Machine learning ( ML) engineer
Technologies
Description
We are looking for an AI/ML Engineer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines and production-grade LLM integrations.
Requirements
4+ years of commercial development experience
Strong experience with LLM-based systems (RAG, agents, tools)
Ability to design end-to-end AI architecture (data → retrieval → response)
Experience with evaluation pipelines (golden datasets, metrics, LLM-as-judge)
Solid understanding of prompt engineering and iteration
Experience working with databases (Postgres) + vector search
Understanding of data processing, PII detection, and safe data handling
Familiarity with fine-tuning approaches (LoRA/QLoRA) and when to use them
Ability to review and validate AI-generated code
Strong engineering mindset (scalability, reliability, structured thinking)
Responsibilities
Build AI-powered features using LLMs (Claude, OpenAI, etc.)
Develop and optimize RAG pipelines
Create AI agents and autonomous workflows
Fine-tune and adapt ML/LLM models for specific use cases
Integrate AI solutions into products via APIs
Collaborate with the team and clients to deliver production-ready solutions
We offer
Flexible working hours
20 working days paid vacation and 15 sick leaves
Fully paid medical insurance
English classes in the office
No time trackers — ability to do quality work
Friendly team and enjoyable working environment
Requirements
4+ years of commercial development experience
Strong experience with LLM-based systems (RAG, agents, tools)
Ability to design end-to-end AI architecture (data → retrieval → response)
Experience with evaluation pipelines (golden datasets, metrics, LLM-as-judge)
Solid understanding of prompt engineering and iteration
Experience working with databases (Postgres) + vector search
Understanding of data processing, PII detection, and safe data handling
Familiarity with fine-tuning approaches (LoRA/QLoRA) and when to use them
Ability to review and validate AI-generated code
Strong engineering mindset (scalability, reliability, structured thinking)
Responsibilities
Build AI-powered features using LLMs (Claude, OpenAI, etc.)
Develop and optimize RAG pipelines
Create AI agents and autonomous workflows
Fine-tune and adapt ML/LLM models for specific use cases
Integrate AI solutions into products via APIs
Collaborate with the team and clients to deliver production-ready solutions
We offer
Flexible working hours
20 working days paid vacation and 15 sick leaves
Fully paid medical insurance
English classes in the office
No time trackers — ability to do quality work
Friendly team and enjoyable working environment