Volodymyr L.

AI Engineer | RAG, LLM Agents & AI Automation for SaaS AI Integration

I build AI features that survive production - not demos. Most teams can get an LLM prototype working in a weekend. What breaks is everything after: costs that scale wrong, outputs that drift, latency that kills the UX, and no way to tell whether quality is getting better or worse. That's the part I own. What I do RAG and semantic search over your documents, knowledge bases, and internal data LLM agents and chatbots for support, onboarding, and internal tooling AI automation pipelines - enrichment, routing, summarisation, lead scoring Cost and latency engineering - right model per task, caching, streaming, evals so quality stays measurable as you ship Recent results Built a Claude-powered content pipeline: YouTube video to publish-ready blog, X, and LinkedIn output. Cut end-user content work 60% and saved clients 20+ hours/week AI lead scoring and automated follow-ups inside a custom CRM - 60% less sales admin work Content automation producing 500+ SEO articles/month, saving $4,000/month AI video editing dashboard, currently 418 hours in and ongoing Why the AI work holds up 12+ years of full-stack engineering before AI was the headline. I've run multi-tenant SaaS, payment flows, and APIs at 10M+ monthly requests across platforms serving 320K+ users in 27+ countries at 99.9% uptime. AI features fail in production for ordinary engineering reasons - bad error paths, no observability, unbounded costs. I've been fixing those for over a decade. Stack LLMs: OpenAI API, Claude, Gemini · LangChain, LangGraph · RAG, vector search, embeddings Backend: Node.js, NestJS, Python, TypeScript, PostgreSQL, Redis Automation: n8n, Node-RED · Cloud: AWS (Lambda, ECS, RDS, S3), Docker, CI/CD How I work Short discovery first - goals, users, constraints. Then architecture and a phased plan (MVP → v1 → iterate), shipped in small reviewable steps. I reply within 4 hours, document decisions that matter, and stay available after launch. 100% Job Success, Top Rated Plus, 3,028 hours on Upwork. Good fit if you have an AI feature that works in testing but you don't trust in production yet - or an LLM idea you need turned into something real in weeks, not quarters. Send me a short note about your product and constraints. I'll come back with a realistic plan and the questions that matter.