Principal AI Engineer

Svitla Systems is seeking a Principal AI Engineer for a full-time position with a private equity firm client. As a founding member of the AI Center of Excellence, you will lead the development of sophisticated Agentic Systems and Adaptive RAG engines to solve complex, real-world problems and set engineering standards for quality, security, and innovation.

• Design and build scalable, reusable AI services including Adaptive RAG Engine, Text-to-SQL Service, and Agentic Runtime
• Lead development of multi-agent systems capable of complex reasoning, planning, tool use, and self-correction using LangGraph or Semantic Kernel
• Mentor senior engineers, conduct code reviews, and drive adoption of engineering best practices including testing and CI/CD for AI
• Load and transform datasets and knowledge sources to optimize for Hybrid or Semantic Search
• Move prototypes to production with focus on latency, cost optimization, and reliability
• Implement robust evaluation pipelines and guardrails for PII protection, hallucination detection, and prompt injection defense
• Partner with product teams to de-risk AI roadmaps and translate business requirements into architectural patterns

• 8-10+ years of ML Engineering experience with strong background in classic ML, GenAI, and Agentic systems
• STEM degree (Bachelor's or Master's) in Computer Science, Mathematics, Engineering, Physics, or related field from reputable university
• Expert-level GenAI Engineering with deep hands-on experience building production RAG systems
• Significant experience with chunking strategies, hybrid search, re-ranking, and context management
• Agentic Workflow Experience building systems where LLMs use tools, maintain state, and execute multi-step plans
• Strong software engineering foundation with clean, maintainable Python code and understanding of distributed systems, API design (FastAPI), and cloud architecture
• Strategic thinking balancing bleeding-edge with proven technology to deliver business value
• Excellent English and communication skills with high agency and ownership mentality

Schedule & Location: Full-time (40 hours per week), remote or in development offices

• US and EU projects based on advanced technologies
• Flexible workspace arrangement
• Comprehensive medical insurance including dental and massages
• Personalized learning program and sport reimbursement program
• Employee referral bonuses and bonuses for article writing and public talks
• 20 vacation days, 10 national holidays, and 5 sick leaves
• Maternity leave policy and family days off
• Free tech webinars and meetups, regular corporate events
• Welcome and anniversary presents, gifts for children