Applied AI / LLM Engineer (Python)

Mad Devs -
Remote

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Job details

11 days ago

Benefits

Paid training
Flexible schedule

Qualifications

Law
Kubernetes
English
Master's degree
SQL
Pandas
Russian
PostgreSQL
Redis
Django
IT
gRPC
Python

Full job 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.

Python

LLM

What will need to do:

Design and build LLM pipelines, AI agents, and RAG-based systems: function/tool calling, structured output (JSON schema)
Develop production-grade Python services (Django, Celery, Redis)
Validate product hypotheses using real-world data and analytics
Measure and optimize LLM quality, performance, and cost
Collaborate closely with product managers and engineers to turn ideas into scalable solutions

Who and where are we looking for:

Strong experience building production LLM applications
Hands-on expertise with RAG, embeddings, vector search, prompt engineering, and LLM evaluation
Experience with LangGraph, LangChain, or similar frameworks
Solid Python backend background (Django, PostgreSQL, async programming)
Strong SQL/Pandas skills and a data-driven mindset
Language Proficiency: English at B2-C1 level, Russian at C1 level
Location: any, except Russia and Belarus

It will be a plus:

Experience with vector databases (Qdrant, pgvector, etc.)
Fine-tuning, text classification, or embedding models
Kubernetes, gRPC, or Go experience

Why Join Us:

At Mad Devs, you'll join a passionate team dedicated to solving complex challenges and delivering innovative solutions. Our projects span Europe, the USA and South East Asia, giving you the opportunity to make a global impact. We value flexibility, remote working and professional development, ensuring you thrive in an inspiring environment. Join us in revolutionizing the legal industry with AI!

Employees benefits

Flexible working hours

Remote-first culture

Long-term projects

Salary in dollars

Professional communities

Onsite business trips

Training budget

Paid conferences

Hi, I'm Ekaterina.

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