Join us as an Engineering Manager. At Barclays, we don’t just adapt to the future, we create it. As an Engineering Manager you will be an innovative Generative AI Engineer to drive adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification and risk reduction across enterprise business solutions.
To be a successful Engineering Manager, you should have experience with:
Strong understanding of Language Models LLMs), transformers, agentic frameworks vector stores, and search algorithms. Strong proficiency in Python around Agentic, GenAI and frameworks i.e. (LangChain, LangGraph, CrewAI etc.).
Hands-on experience with AWS ML ecosystem (Bedrock, SageMaker, Lambda, API Gateway). Good engineering experience with high- performance, large-scale AI/ML systems.
Deep understanding of Prompt engineering and Prompt management. Experience with Database technologies such as SQL, NoSQL and vector databases (e.g., DynamoDB, PGVector, CromaDB, FAISS etc.)
Familiarity with one of the major cloud platforms including AWS, GCP or Azure, Good Engineering experience with large-scale AI/ML systems. Experience in model risk management, guardrails development.
Additional relevant skills given below are highly valued:
Professional experience in financial services and technology firms. Knowledge of REST APIs, JSON/XML, CI/CD tools (Jenkins), and cloud-native architectures.
Demonstrated ability to structure and lead, Strong communication and stakeholder management skills. Motivated quick learner with the ability to learn new skills.
Ability to lead technical teams and mentor junior developers. Bachelor’s degree in computer science, Information Technology or Engineering is required.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in Pune.
