{"id":2437701,"url":"https://alion.io/job/mad-devs-middle-applied-ai-llm-engineer-python","title":"Middle applied AI / LLM Engineer (Python)","company":{"id":1500,"name":"Mad Devs","domain":"maddevs.io","url":"https://alion.io/company/maddevs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Kyrgyzstan"],"countries":["KG"],"hiring_countries":["RU","BY"],"hiring_countries_total":2,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Celery","optional":false},{"name":"Django","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Go","optional":false},{"name":"gRPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Pandas","optional":false},{"name":"pgvector","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-13T11:16:24Z","employer_posted_date":null,"last_verified_at":"2026-10-13T11:16:24Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We're looking for an AI Engineer to own the AI layer of our products, from research and experimentation to production deployment. You'll have end-to-end ownership of AI initiatives, work on real-world GenAI challenges, and help shape the future of AI-powered products.\n\nPythonAI-Assisted DevelopmentNLPMachine Learning What you will do:\nDesign and build LLM pipelines, AI agents, and RAG-based systems, including function and tool calling and structured outputs using JSON schemas.\nDevelop production-grade Python services using Django, Celery, and Redis.\nValidate product hypotheses using real-world data and analytics.\nMeasure and optimize LLM quality, performance, and cost.\nCollaborate closely with product managers and engineers to turn ideas into scalable solutions.\n Requirements:\nExperience with NLP projects in production, 1+ year.\nStrong experience building production LLM applications.\nHands-on expertise with RAG, embeddings, vector search, prompt engineering, and LLM evaluation.\nExperience with LangGraph, LangChain, or similar frameworks.\nSolid Python backend background, 2+ years (Django, PostgreSQL, async programming).\nStrong SQL/Pandas skills and a data-driven mindset.\nLanguage proficiency: English at B2–C1, Russian at C1.\nLocation: any, except Russia and Belarus.\n Additional experience we value:\nHands-on work with vector databases such as Qdrant or pgvector.\nFine-tuning, text classification, and embedding model development.\nWorking knowledge of Kubernetes, gRPC, or Go.\nWhy join us:\nAt Mad Devs, you will join a company that values creativity, strategic thinking, and continuous improvement. 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