Senior AI/ML Engineer
At a glance
Senior Machine Learning Engineering role at Endava. Bucharest · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build Python services that connect language models to chatbot interfaces
- Create agents and agentic workflows using tools such as LangChain and LlamaIndex
- Develop REST APIs and real-time features using HTTP, WebSockets and asynchronous Python
- Write maintainable unit tests, using mocks to check behavior
- Package and run AI applications with Docker in Linux or WSL environments
What you bring
- You have deep Python expertise, including idiomatic practices and asynchronous programming with asyncio
- You have developed generative AI integrations, including LLMs, chatbots, agents and agentic workflows
- You have used LangChain, LlamaIndex or similar generative AI tools hands-on
- You can build REST APIs and work with Pydantic, HTTP and WebSockets
- You write thorough unit tests and are comfortable with Docker, Linux or WSL, Git and Python environments
Who this fits
This is a senior engineering role for someone focused on Python and generative AI development. The position is onsite in Bucharest.
From the employer
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
- 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.