Home/Jobs/Python GenAI Developer – AWS Bedrock & AI Platforms

Python GenAI Developer – AWS Bedrock & AI Platforms

Barclays

Pune

3-4 years

1 day ago

$26.5K–34.9K/yr

Full-time

Onsite

Skills Required LLM

RAG

Gen AI

Prompt Engineering

Agentic AI

Vector Database conversational AI

AWS Bedrock

AWS Lambda

AWS S3

AWS API Gateway

AWS CloudWatch

AWS IAM

AWS Step Functions

Bedrock KnowledgeBase

Description Join Barclays as a Python GenAI Developer focusing on AWS Bedrock and AI Platforms to drive innovation and enhance digital customer experiences.

Company: Barclays

Role: Python GenAI Developer – AWS Bedrock & AI Platforms

Location: Pune

Experience

- 3-4 years of hands-on software development experience with Python
- Experience building Generative AI applications using Large Language Models, Retrieval Augmented Generation, prompt engineering, AI agents, and conversational AI solutions
- Hands-on experience with AWS Bedrock and AWS services such as Lambda, S3, API Gateway, CloudWatch, IAM, and Step Functions
- Experience developing and consuming REST APIs and integrating enterprise applications, databases, and cloud services
- Knowledge of software engineering best practices including CI/CD, Git, code reviews, DevOps automation, and agile development methodologies

Responsibilities

- Design, develop and improve software using various engineering methodologies
- Develop and deliver high-quality software solutions ensuring scalability, maintainability, and performance optimization
- Collaborate cross-functionally with product managers, designers, and engineers to define requirements and solution strategies
- 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 mitigate vulnerabilities and protect sensitive data
- Implement effective unit testing practices to ensure code design, readability, and reliability

Additional Responsibilities

- Perform prescribed activities timely and to a high standard driving continuous improvement
- Demonstrate in-depth technical knowledge and experience in assigned area
- Lead and supervise a team, guide professional development, allocate work, and coordinate resources (if applicable)
- Demonstrate leadership behaviors: Listen and be authentic, Energise and inspire, Align across enterprise, Develop others (if applicable)
- Develop technical expertise as an individual contributor and act as advisor where appropriate
- Impact work of related teams and partner with other functions and business areas
- Take responsibility for team’s operational processing and activities
- Escalate breaches of policies and procedures appropriately
- Embed new policies and procedures for risk mitigation
- Advise and influence decision making within area of expertise
- Manage risk and strengthen controls related to owned work
- Deliver work in line with relevant rules, regulations, and codes of conduct
- Maintain understanding of sub-function integration with function and organizational products, services, and processes
- Demonstrate understanding of coordination and contribution to organizational objectives
- Make evaluative judgments based on factual analysis with attention to detail




- Resolve problems by selecting solutions using technical experience guided by precedents
- Guide and persuade team members and communicate complex or sensitive information
- Demonstrate Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship
- Demonstrate Barclays Mindset to Empower, Challenge, and Drive

Nice To Have

- Experience with Bedrock KnowledgeBase, FAISS, ChromaDB, or other vector database technologies
- Experience with React, Angular, or contemporary front-end frameworks for AI-powered user interfaces
- Experience with Docker, Kubernetes, containerized deployments, and cloud-native application architectures
- AWS Cloud, AWS AI/ML, or Generative AI related certifications

More Skills Python, API development, Object-oriented programming, Testing and code optimization, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), REST APIs, Enterprise application integration, Databases, Cloud services, CI/CD, Git, Code reviews, DevOps automation, Agile development

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Top 50 Prompt Engineering Interview Questions

Zenaique

Curated prompt engineering questions and best practices.

Top 20 Vector Databases Questions (Quick)

Zenaique A focused vector-database interview question set from Zenaique.

Top 50 Vector Databases Interview Questions

Zenaique

Curated vector database questions covering Pinecone, Weaviate, Qdrant, and more.

More LLM jobs

(Senior) AI Engineer

Cells

Bengaluru

Today

Software Engineer (Agentic AI, LLM, Python )

Cisco

Bengaluru

Today

Senior AI Solutions Engineer

Sembcrop

Gurugram

Today

AI Engineer – GenAI / LLM / Agentic AI (4+years)

The Growth Hive

Pune

Today

AI Engineer

Ford Motor Company

Chennai

Today

GenAI / Agentic AI engineer

Persistent

Pune

Today

📌 Python GenAI Developer – AWS Bedrock & AI Platforms (Pune)
🏢 Top Gen AI Jobs
📍 Pune