Senior Python Engineer (AI)

We are looking for a Senior Python Engineer to build an MVP of a first-of-its-kind AI-powered VC due diligence evaluation platform, leveraging a 400+ point checklist based on their corporate experience. The role focuses on backend development, API design, and production integration with LLM models, like OpenAI, vector databases (Milvus) and additional AI services that could provide intelligent responses for the query. This position suits someone who is comfortable working at the intersection of backend engineering, data and 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 skills:

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