Senior AI Engineer

Description

You will join a consulting-driven team that works with clients on AI projects, pairing technical work with an understanding of their business goals.

Projects range from quick prototypes to production systems, with a focus on LLM-based applications, intelligent automation, machine learning and AI-powered products.

The company builds solutions for clients worldwide, including large technology firms and unicorns, using emerging technologies. The engineering teams it forms take ownership of their work.

Responsibilities

• Build multi-agent systems.
• Design, refine and evaluate prompt engineering approaches.
• Connect LLMs and other AI models to cloud-based applications and APIs.
• Implement agent-based workflows and AI automation.
• Keep up with new AI tools, models and frameworks, and test them for practical use.

Requirements

• Solid hands-on Python skills for building AI applications.
• Proven experience with agent frameworks and multi-agent systems.
• Experience with LangChain, LangGraph, LlamaIndex or similar frameworks used in agentic workflows.
• Experience designing and building knowledge bases and RAG architectures, including work with vector databases such as Qdrant, Pinecone or Weaviate.
• Practical experience with LLMs and generative AI, such as OpenAI or open-source models.
• Understanding of AI safety, guardrails and responsible AI practices.
• Ability to speak and write English.
• Additional skills: familiarity with evaluating LLMs and agentic workflows.
• Additional skills: experience integrating AI systems with APIs, backend services and enterprise systems.
• Additional skills: a solid grasp of how traditional machine learning fits into intelligent systems.
• Additional skills: strong communication skills, with the ability to work with both technical teams and clients.

Conditions

Remote work and flexible cooperation options are available.

Travel is required for international projects.

Availability and terms of individual benefits depend on the form of cooperation you choose.

Benefits

• Work on international projects for leading clients around the world.
• Relaxed, non-corporate working atmosphere.
• Language classes.
• Knowledge-sharing initiatives.
• Private healthcare and life insurance.
• Multisport card.