AI Engineer

TL;DR

AI Engineer: Building internal AI agents that automate engineering workflows end-to-end with an accent on agentic pipelines, tool use, RAG, and structured reasoning loops. Focus on debugging, code generation, data extraction, improving engineering velocity, and ensuring production reliability.

Location: On-site role in Almaty office.

Company

Fastest-growing GenAI platform — #1 in Video AI in the U.S. and top globally by growth, raised $130M Series A, small but mighty team building the next GenAI decacorn.

What you will do

• Build internal AI agents automating engineering workflows like debugging, root cause analysis, code generation, refactoring, data extraction, validation, and knowledge retrieval.
• Develop agentic pipelines combining tool use, retrieval (RAG), and structured reasoning loops.
• Improve engineering velocity by removing repetitive work across teams.
• Own system reliability: make observable, deterministic, production-safe systems.
• Collaborate with SWE, infra, and ML teams to embed AI into core workflows.

Requirements

• 2+ years building production systems
• Strong experience with LLMs (OpenAI, Anthropic, etc.), agentic architectures, tool-use systems, retrieval systems (RAG, search, embeddings).
• Strong Python and backend engineering skills.
• Experience shipping end-to-end features in fast-moving environments.
• Solid engineering judgment: know when to hack vs. build properly; experience with evaluation, iteration, failure modes of LLM systems.
• Ability to design robust systems; think in systems, have product instincts, thrive in ambiguity and speed, high agency, clear communication across teams.

Culture & Benefits

• Everyone is an A-player in a small, high-growth team.
• Competitive salary in USD.
• Full-time position with high growth potential.