Python/LLM/AI Infrastructure Engineer

Описание

We are a deep-tech company building state-of-the-art LLM-based assistants augmented with knowledge graphs. We are seeking a Senior Backend Python Engineer (7+ years of experience) to design and scale the backend infrastructure powering our AI platform.

Responsibilities

• Architect and implement scalable backend services and multi-tenant SaaS systems
• Design and operate high-throughput data pipelines (both batch and streaming)
• Build APIs and services integrating LLM inference, retrieval systems, and knowledge graphs
• Productionize research-grade AI systems into reliable, production-ready distributed systems

Requirements

• Experience: 7+ years of hands-on backend engineering experience
• Architecture & Data: Strong background in building high-throughput data pipelines and multi-tenant SaaS architectures
• Programming: Deep proficiency in Python
• Distributed Systems: Strong understanding of distributed systems and cloud-native environments
• Kubernetes: Hands-on experience in the architecture, development, and deployment of Kubernetes-based systems
• English B2 - Upper Intermediate

Nice to have

• Languages: Experience with Go and/or Scala
• AI/LLM Ecosystem: Practical experience with LLM systems (RAG, model serving, evaluation)
• Graph & Vector Databases: Experience working with knowledge graphs, vector databases (e.g., Neo4j), or hybrid retrieval architectures

We offer

• Fully remote working model
• Access to an office if there is one available in your location
• Monday–Friday, 40-hour working week
• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)
• 20 paid working days of vacation during the first year
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary
• Public holidays are days off by default
• Medical insurance or medical insurance compensation
• Company gifts for Birthday, Wedding, Birth of a child
• Paid lunches at the office
• Family days etc.
• FOP / Individual Entrepreneur Support if needed
• Paid Bench period between projects
• No time-tracking software
• Referral Program