- Deep expertise in Python, with strong understanding of idiomatic patterns and best practices.
- Solid experience with Generative AI technologies, especially integrating LLMs and chatbot interfaces.
- Experience developing agents and agentic workflows.
- Hands-on experience with LangChain, LlamaIndex, and similar GenAI tooling.
- Proficiency in asyncio and asynchronous programming models in Python.
- Strong understanding of RESTful API design and development.
- Familiarity with Pydantic for data validation and model management.
- Practical knowledge of the HTTP protocol, WebSockets, and real-time data systems.
- Experience writing thorough unit tests, with a focus on mocks and maintainability.
- Competence in using Docker for development and deployment.
- Comfortable working in Linux/WSL-based environments.
- Solid version control practices with Git, Python package managers and virtual environments.
Bonus:
- Experience with open-source LLMs (e.g., Mistral, LLama).
- Familiarity with cloud platforms (AWS, GCP, Azure) and deploying AI services at scale.
- Knowledge of frontend development for chatbot UIs (React, Next.js, etc.).
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.