We are looking for a Senior Python Engineer to join our team and work on modern, high-performance backend systems powering AI-driven and data-intensive platforms. This role is ideal for someone who enjoys designing APIs from the ground up, working with async architectures, and integrating Large Language Models into real-world products.
You’ll collaborate closely with product, data, and engineering teams to build scalable services, real-time APIs, and intelligent automation components used across multiple platforms and markets.
What you’ll do:
- Design, build, and maintain high-performance backend services using Python 3.10+ and async programming patterns.
- Develop and optimize HTTP APIs using FastAPI (or similar async frameworks), including REST and Server-Sent Events (SSE).
- Implement secure authentication and authorization mechanisms (OAuth2, JWT).
- Integrate LLM-powered features using APIs such as OpenAI, including prompt optimization and experimentation.
- Design and evolve PostgreSQL schemas, indexes, and queries with a focus on performance and scalability.
- Build containerized services using Docker and deploy them in Kubernetes environments.
- Contribute to event-driven architectures and streaming workflows (Kafka or similar).
- Write high-quality unit and integration tests using pytest.
- Collaborate through Git-based workflows, participate in code reviews, and contribute to architectural decisions.
Required qualifications:
- Strong experience with Python (3.10+), including async/await and asyncio.
- Deep hands-on experience with FastAPI or another async web framework.
- Proven experience building and consuming RESTful and streaming APIs (SSE).
- Solid understanding of API security (OAuth2, JWT).
- Practical experience integrating LLMs (e.g. OpenAI API) into production systems.
- Experience with Docker and Kubernetes.
- Proficiency in PostgreSQL, including schema design and query optimization.
- Familiarity with Kafka or event-driven communication patterns.
- Experience using pytest for automated testing.
- Comfortable working with Git branching strategies in collaborative teams.
- Good English communication skills (written and spoken).
Nice to have:
- Experience with horizontal scaling, session management, and sticky sessions.
- Ability to design APIs and database schemas from scratch.
- Understanding of RAG architectures, embeddings, and retrieval pipelines.
- Hands-on experience with LangChain or similar LLM orchestration frameworks.
- Familiarity with Grafana or other monitoring/observability tools.
- Knowledge of SSE vs WebSocket trade-offs and performance tuning.
- Basic understanding of NLP concepts, embeddings, or text classification models.
What we offer:
- Opportunity to work on cutting-edge AI-powered systems
- Challenging technical problems with real production impact
- Competitive salary
- Flexible working schedule
- Benefits package (medical insurance, sports, etc.)
- Corporate social events
- Professional growth and learning opportunities
- Modern, well-equipped office
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. With over 8 years of enterprise AI leadership, we help global organizations solve complex technical challenges through expertise in data, cloud & DevOps, application modernization, and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
Grid Dynamics
