MI

Maksim Ilnitsky

Available to hire

I’m a spec-first AI/ML engineer with 10+ years of experience building production AI systems and AI-native products.

About

I’m a spec-first AI/ML engineer with 10+ years of experience building production AI systems and AI-native products. I work deeply with LLMs, agentic workflows, RAG, and distributed systems, and I’m most effective when I can translate complex needs into clear, executable requirements that both humans and AI agents can follow.

I’ve shipped large-scale NLP/LLM products and built reliable, evaluation-driven architectures—often by tightening written specs rather than repeatedly rewriting code. I enjoy moving fast with AI-assisted prototyping, then iterating with a critical engineering eye until the system’s behavior matches the intended product outcome.

  • 13 years' experience
  • Joined September 2026

Industry experience

  • Software & Internet
  • Professional Services
  • Computers & Electronics
  • Financial Services

Work experience· 4 roles

Senior AI / ML Engineer · AnthropicApr 2024 – Jan 2026 · 1 yr 10 mos

Built and deployed LLM-based systems with emphasis on spec clarity, reliability, and real-world behavior. Collaborated across research, product, and infrastructure teams using documentation as the primary coordination mechanism. Designed agentic workflows where written intent controlled tool selection, reasoning paths, and outputs. Reviewed and refined AI-generated code and system behavior through iterative specification updates.

AI Engineer · DeepLSep 2018 – Mar 2024 · 5 yrs 7 mos

Shipped large-scale NLP and LLM-powered products used globally. Balanced product requirements, system constraints, and model capabilities through clear written designs. Contributed to ML platforms where documentation served as long-term system memory. Improved production iterations by tightening specifications rather than rewriting large codebases.

AI Engineer · NotionMar 2014 – Jul 2018 · 4 yrs 5 mos

Built intelligent features (search, automation, recommendations) integrated into a user-facing SaaS product. Worked closely with product teams to translate ambiguous user needs into precise system behavior. Developed strong written decision-making habits and maintained design rationale as part of the system’s long-term clarity.

AI / ML Engineer · MicrosoftJun 2012 – Feb 2014 · 1 yr 9 mos

Education· 6

Bachelor of Science — Computer Science · University of Washington Bothell2030 – 2026
Bachelor of Arts — Economics · Seattle University2030 – 2026
Bachelor of Science — Computer Science · University of Washington Bothell2030 – 2026
Bachelor of Arts — Economics · Seattle University2030 – 2026

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