AI/ML Engineer for Conversational AI and RAG

The Analyst, AI/ML Engineer plays a supporting role in the development of AI/ML applications such as chatbots, conversational AI applications, retrieval-augmented generation (RAG) systems. The role will be supporting day-to-day tasks such as application design and implementation, data preparation, conversational bot development, model testing, documentation and pipeline support. Working under the supervision of senior engineers, the Analyst follows established engineering standards and agile practices to ensure quality and consistency across the AI delivery lifecycle.

Key Responsibilities:

• Assists in building AI solutions using Azure AI Services, Prompt Flow, and Azure AI Search (Vector Store).
• Writes clean, testable code and assists in peer code reviews.
• Supports the setup of automated testing and observability within CI/CD pipelines.
• Contributes to the validation and tuning of models to ensure performance and data quality, adhering to AI fairness and explainability principles.
• Participates in the refinement of AI/ML user stories and contributes to backlog grooming, estimation, and agile ceremonies.
• Supports the delivery of small to medium AI features in coordination with MLOps and Product teams.
• Contributes to the promotion of engineering best practices and responsible AI standards.
• Supports continuous improvement and innovation within the squad.
• Supports the team by conducting technical spikes for new initiatives, under guidance where required.
• Assists with the deployment of training and inference pipelines to shared development environments such as Azure ML and Prompt Flow.

Knowledge and Education:

• Holds a degree in Computer Science, Data Science, Engineering, Mathematics or a related technical discipline.
• 2 years of experience working with Python.
• Demonstrates foundational understanding of machine learning concepts, model lifecycle and data processing principles.
• Basic understanding of Software Development principles, including writing unit and integration tests.
• Demonstrates problem-solving and analytical thinking skills.
• Able to follow guidance and apply structured approaches to technical challenges.
• Familiar with Agile ways of working and collaborative development practices (e.g. Scrum, Kanban).
• Basic understanding of version control systems (e.g. Git) and collaborative tooling (e.g. GitHub, Jira, Confluence).
• Effective written and verbal communication skills, including the ability to document work clearly.
• Curious, proactive and eager to learn in a hands-on engineering environment.
• Demonstrates an awareness of responsible AI principles such as fairness, transparency and explainability.
• Able to work in a diverse, multicultural team setting and follow standard delivery processes.
• Familiarity with containerisation using Docker is desirable.
• Hands-on experience or academic exposure to Python for data science or AI/ML development.
• Basic understanding of RESTful API design principles.
• Familiar with model development workflows, including training, evaluation and basic tuning.
• Exposure to tools such as Azure ML, Prompt Flow, or similar cloud ML platforms.
• Basic understanding of AI/ML application types such as chatbots, recommendation systems, or RAG.
• Supports building and testing ML models, preparing datasets and writing testable code.
• Exposure to vector search, embeddings, or retrieval techniques is desirable.
• Assists with basic ML pipeline configuration under guidance.
• Ability to write clear technical documentation and maintain API specifications using Open API 3.0+
• Basic understanding of System Design and Architecture.
• Basic understanding of microservices architecture and distributed system design.
• Familiarity with application authentication protocols (e.g. OAuth 2.0, JWT), and security best practices.

What is it like to work at the EBRD? / About EBRD

Our agile and innovative approach is what makes life at the EBRD a unique experience! You will be part of a pioneering and diverse international organisation, and use your talents to make a real difference to people's lives and help shape the future of the regions we invest in.

At EBRD, our Values – Inclusiveness, Innovation, Trust, and Responsibility – are at the heart of how we work. We bring these to life through our Workplace Behaviours: listening well and speaking up, collaborating smartly, acting decisively with full commitment, and simplifying to amplify our impact. These principles shape our culture and define our success. We seek individuals who not only share these values but are also committed to embedding them in their daily work, fostering a positive and high-performing environment.

The EBRD Environment Provides You With:

• Varied, stimulating and engaging work that gives you an opportunity to interact with a wide range of experts in the financial, political, public and private sectors across the regions we invest in.
• A working culture that embraces inclusion and celebrates diversity. Our workforce reflects a broad range of backgrounds, perspectives, and experiences, bringing fresh ideas, energy, and innovation and enhancing our ability to serve our clients, shareholders, and counterparties effectively.
• A hybrid workplace that offers flexibility to teams and individuals; that is based on trust, flexibility and connectedness.
• An environment that places sustainability, equality and digital transformation at the heart of what we do.
• A workplace that prioritises employee wellbeing and provides a comprehensive suite of competitive benefits.

Diversity is one of the Bank’s core values which are at the heart of everything it does. As such, the EBRD seeks to ensure that everyone is treated with respect and given equal opportunities and works in an inclusive environment. The EBRD encourages all qualified candidates who are nationals of the EBRD member countries to apply regardless of their racial, ethnic, religious and cultural background, gender, gender identity, sexual orientation, age, socio-economic background or disability.

Please note, that due to the high volume of applications received, we regret to inform you that we are unable to provide detailed feedback to candidates who have not been shortlisted.