Middle AI Engineer
On-site • Full-time • Tashkent, Uzbekistan
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Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery.
What you'll do
- Architect and implement data preprocessing, embedding, and retrieval pipelines for dynamic, context-aware insights in user sessions and product workflows
- Build, refine, and optimize retrieval-augmented generation (RAG) systems using top LLMs and retrieval frameworks to deliver relevant, actionable information
- Develop and maintain Node.js and Python APIs to efficiently serve AI-driven insights to React-based frontend applications
- Collaborate with product managers, designers, and data engineers to conceptualize and iterate on intelligent features boosting user experience and engagement
- Prototype, validate, and deploy high-impact features rapidly with tools like OpenAI, Anthropic, and Gemini for fast learning and value delivery
- Design automated evaluation frameworks, including model benchmarking, regression testing, and continuous improvement pipelines
- Work with DevOps and data teams to deploy and scale AI services in cloud-native environments (e.g., Fly.io, Supabase, Kafka, ClickHouse)
What you bring
- 3+ years in software development (backend or full-stack)
- Strong proficiency in Node.js or Python for building APIs and integrating with React frontends
- Experience architecting data preprocessing, embedding, and retrieval pipelines (RAG systems with LLMs like OpenAI, Anthropic, Gemini)
- Hands-on work with multi-agent orchestration (LangChain, CrewAI, AutoGen) and AI tools (Cursor, GitHub Copilot, OpenAI Codex)
- Skills in automated evaluation frameworks (model benchmarking, regression testing, continuous improvement pipelines)
- Deployment experience in cloud-native environments (Fly.io, Supabase, Kafka, ClickHouse) and collaboration with DevOps/data teams
- B2+ English for communicating with English-speaking clients
What you'll get
- EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
- Licenses for AI tools: GitHub Copilot, Cursor, and others
- Expanded medical support for employees in Tashkent
- 19 working days of vacation per year, 21 after two years in the company
- Corporate getaway & teambuilding activities
- Support for the significant events in your life
- Referral bonuses for bringing in new talent
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