[CMI] Senior AI Engineer
The Senior AI Engineer will design and implement LLM‑based multi‑agent solutions, handling prompt engineering and intelligent automation for client projects. They will also lead rapid prototyping through to production‑grade deployments, ensuring AI systems deliver measurable business value.
Skills required
About this role
Project – the aim you’ll have
We are looking for a talented Senior AI Engineer to join our team and work on innovative projects for our clients. Our mission is to help organizations unlock the full potential of artificial intelligence and Generative AI, delivering real business value through modern AI-driven solutions.
You will work on diverse projects, ranging from rapid prototyping to production-grade deployments, with a strong focus on LLM-based applications, intelligent automation, machine learning, and AI-powered products. As a consulting-driven team, we collaborate closely with clients, combining technical expertise with business understanding to deliver impactful solutions.
If you are passionate about cutting-edge AI technologies and want to build real-world AI systems at scale, join us!
Position – how you’ll contribute
- Building multi-agent systems
- Developing and optimizing prompt engineering strategies, including evaluation and iteration
- Integrating LLMs and AI models into cloud-based applications and APIs
- Implementing agent-based workflows and AI automation solutions
- Continuously researching, evaluating, and applying new AI tools, models, and frameworks
Qualifications
Expectations – the experience you need
- Strong experience with Python for AI application development
- Strong experience with agent frameworks and multi-agent systems
- Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks used in agentic workflows
- Experience designing and implementing knowledge bases, RAG architectures and working with vector databases (e.g., Qdrant, Pinecone, Weaviate)
- Hands-on experience with LLMs and Generative AI (e.g., OpenAI, open-source models)
- Understanding of AI safety, guardrails, and responsible AI practices
- Ability to speak and write in English
Additional skills – the edge you have
- Familiarity with evaluation of LLMs and agentic workflows
- Experience integrating AI systems with APIs, backend services, and enterprise systems
- Strong understanding of the role of traditional ML in building intelligent systems
- Strong communication skills and ability to work with both technical teams and clients
Additional Information
What we offer:
- Flexible and remote cooperation options
- International projects with leading global clients
- Travels related to international projects
- Non-corporate atmosphere
- Access* to language classes
- Access* to knowledge-sharing initiatives
- Access* to private healthcare and life insurance
- Access* to multisport card
*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.
