Senior Python Engineer (AI)

About the Position

We are seeking a Senior Python Engineer (AI) to join our team in Europe, focusing on backend development and AI integration. This role involves building an MVP of a first-of-its-kind AI-powered VC due diligence evaluation platform. The position suits someone who is comfortable working at the intersection of backend engineering, data, OCR, and integrating with AI systems.

Responsibilities

• Design, develop, and maintain backend services using Python 3.12
• Build and support high-performance REST APIs and service layers
• Implement asynchronous and multithreaded workflows for data processing and AI pipelines
• Integrate with LLMs and RAG-based architectures
• Work with vector databases (Milvus) and object storage (MinIO)
• Design and optimize data models across PostgreSQL and MongoDB
• Implement access control using Casbin
• Ensure performance, scalability, and reliability of backend services
• Collaborate closely with AI engineers, data specialists, and product teams
• Participate in code reviews and technical decision-making

Requirements

• Strong experience with Python 3.12
• Experience with Litestar (or similar async frameworks like FastAPI)
• Hands-on experience with SQLAlchemy and Alembic
• Experience implementing authorization models (e.g., Casbin)
• Strong understanding of multithreading / concurrency patterns
• Experience with PostgreSQL and MongoDB
• Experience with vector databases (Milvus is preferable)
• Experience with Kafka and/or RabbitMQ
• Practical experience with AI / LLM integrations
• Understanding of RAG (Retrieval-Augmented Generation) architectures
• Experience with the AWS cloud platform
• English level - upper-intermediate

Nice to Have

• Experience with Kubernetes (K8s)
• Experience with LLM providers (OpenAI, Anthropic, open-source models)
• Familiarity with distributed systems and scalable architectures
• Experience with observability tools (logging, monitoring, tracing)

We Offer

• Flexible working format - remote, office-based, or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

not applicable for freelancers

About the Company

[Company description if present]