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Date live:
Apr. 07, 2026
Business Area:
Customer Digital and Data
Area of Expertise:
Technology
Reference Code:
JR-0000063028
Contract:
Permanent
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Explore locationTo be successful as Gen AI and ML Engineer, you should have experience with:
Strong proficiency in Python around Agentic, GenAI and framework such as LangChain, LangGraph, CrewAI, Langfuse etc.
Hands-on experience with AWS ML ecosystem (Bedrock, SageMaker, Lambda, API Gateway).
Deep understanding of AI Agents, Agentic architecture, Generative AI, LLMs, NLP, and Conversational AI.
Deep understanding of Prompt engineering and Prompt management, refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs).
Experience with Database technologies like SQL, NoSQL and vector databases (e.g., DynamoDB, PGVector, CromaDB, FAISS etc.)
Proficiency with developing solutions on cloud platform preferably AWS platform.
Good Engineering experience with large-scale AI/ML systems.
Some other highly valued skills include:
Professional experience in financial services and technology firms.
Knowledge of REST APIs, JSON/XML, CI/CD tools (Jenkins), and cloud-native architectures.
Strong communication and stakeholder management skills.
Ability to lead technical teams and mentor junior developers.
Ability to lead mid-size 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.
Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities
Assistant Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.