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AI Engineer

Barclays

Pune

3-5 years

Today

$26.5K–42.2K/yr

Full-time

Onsite

Skills Required

LLM

Gen AI

Agentic AI

LangChain

RAG

Vector Database

Embeddings

Prompt Engineering

LangGraph

CrewAI

AutoGen

FastAPI

Python

AWS Bedrock

AWS Lambda

Description

Join Barclays as an AI Engineer to drive AI adoption, enabling intelligent automation and business transformation using cutting-edge AI and cloud technologies.

Company: Barclays

Role: AI Engineer

Location: Pune

Experience

- Robust proficiency in Python
- Hands-on experience building AI applications using FastAPI and RESTful microservices
- Experience working with Large Language Models (LLMs) and Generative AI platforms
- Experience with Agentic AI concepts and AI orchestration frameworks
- Experience designing and implementing Retrieval Augmented Generation (RAG) solutions
- Hands-on experience with AWS services including Bedrock, Lambda, ECS/EKS, S3, DynamoDB, API Gateway, CloudWatch, and IAM
- Experience integrating AI solutions with enterprise data platforms, APIs, databases, and knowledge repositories
- Experience with containerisation and deployment technologies such as Docker, Kubernetes, and CI/CD pipelines

Responsibilities

- Design, build, and operate enterprise-grade AI solutions
- Develop and improve software using various engineering methodologies
- Deliver high-quality, scalable, maintainable, and optimized software solutions
- Collaborate cross-functionally with product managers, designers, and engineers
- Participate in code reviews and promote code quality and knowledge sharing




- Stay informed of industry technology trends and contribute to technology communities
- Adhere to secure coding practices to protect sensitive data
- Implement effective unit testing practices

Additional Responsibilities

- Perform prescribed activities timely and to a high standard driving continuous improvement
- Lead and supervise a team, guide professional development, allocate work, and coordinate resources
- Demonstrate leadership behaviors: Listen, Energise, Align, Develop
- Develop technical expertise and act as an advisor
- Impact related teams and partner with other functions and business areas
- Take responsibility for team operational processing and activities
- Escalate policy/procedure breaches appropriately
- Embed new policies/procedures for risk mitigation
- Advise and influence decision making within area of expertise
- Manage risk and strengthen controls in work areas
- Maintain understanding of sub-function integration and organizational products, services, and processes
- Make evaluative judgments based on factual analysis
- Resolve problems using technical experience and precedents
- Guide and persuade team members and communicate complex information
- Demonstrate Barclays Values and Mindset

Nice To Have





- Understanding of SWIFT messaging formats (ISO 20022 or MT messages)
- Experience with IBM MQ or JMS-based messaging
- Knowledge of payment processing domain
- Familiarity with ELK stack for logging and troubleshooting
- Experience with SWIFT parsing libraries (Prowide Core)

More Skills RESTful microservices, Large Language Models (LLMs), Generative AI platforms (Claude, Amazon Bedrock or similar), Agentic AI frameworks (LangGraph, CrewAI, AutoGen, LangChain or similar), Retrieval Augmented Generation (RAG), Vector databases and embeddings, AWS services (Bedrock, Lambda, ECS/EKS, S3, DynamoDB, API Gateway, CloudWatch, IAM), Enterprise data integration, Model evaluation, AI governance, Containerisation (Docker, Kubernetes), CI/CD pipelines

Prepare for this role

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