Applied AI Engineer (Python)

TL;DR

Applied AI Engineer (Python): Building and optimizing LLM pipelines, AI agents, and RAG-based systems with an accent on production-grade Python services and scalable AI architecture. Focus on validating product hypotheses, optimizing LLM performance and cost, and delivering high-impact AI solutions for the legal industry.

Location: Remote (Global, excluding Russia and Belarus)

Company

A software development company delivering innovative solutions across Europe, the USA, and South East Asia, with a focus on revolutionizing the legal industry through AI.

What you will do

• Design and build LLM pipelines, AI agents, and RAG-based systems using structured output and tool calling.
• Develop and maintain production-grade Python services using Django, Celery, and Redis.
• Validate product hypotheses through real-world data analysis and experimentation.
• Measure and optimize LLM quality, performance, and operational costs.
• Collaborate with product managers and engineering teams to scale AI-powered solutions.

Requirements

• English: B2-C1 level required
• Russian: C1 level required
• Location: Must be based outside of Russia and Belarus
• Strong experience building production-grade LLM applications.
• Hands-on expertise with RAG, embeddings, vector search, and prompt engineering.
• Solid Python backend background including PostgreSQL and asynchronous programming.

Nice to have

• Experience with vector databases like Qdrant or pgvector.
• Knowledge of fine-tuning models or text classification.
• Familiarity with Kubernetes, gRPC, or Go.

Culture & Benefits

• Remote-first culture with flexible working hours.
• Compensation paid in USD.
• Access to professional communities and training budgets.
• Opportunities for onsite business trips and paid conference attendance.
• Engagement in long-term, globally impactful projects.