Senior Python GenAI Developer – AWS Bedrock & AI Platforms
Barclays · Pune · 5+ yrs experience · Posted 2026-07-18
Tech stack: AWS, Docker, FastAPI, Flask, Kubernetes, Python
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About the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Responsibilities:
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
Qualifications:
- Senior Python GenAI Developer – AWS Bedrock & AI Platforms
- Experience in skilled Python GenAI Developer with deep expertise in AWS Bedrock and the AWS ecosystem to design and build scalable, enterprise-grade Generative AI solutions.
- The role focuses on developing production-ready AI systems (RAG pipelines, AI agents, document intelligence, and automation platforms) that integrate seamlessly into business processes.
- Strong proficiency in Python (5+ years preferred).
- Hands-on experience with AWS Bedrock and foundation models.
- Deep knowledge of AWS ecosystem.
- Experience with RAG architectures and vector databases.
- Experience in NLP, embeddings, semantic search, and document parsing , prompt engineering and evaluation techniques.
- Strong API development skills (FastAPI / Flask).
- Experience in microservices architecture.
- Strong understanding of CI/CD and DevOps practices.
- Familiarity with containerization (Docker, Kubernetes/EKS).
- You may be assessed on the 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.
Qualifications
- Senior Python GenAI Developer
- AWS Bedrock & AI Platforms
- Experience in skilled Python GenAI Developer with deep expertise in AWS Bedrock and the AWS ecosystem to design and build scalable, enterprise-grade Generative AI solutions.
- The role focuses on developing production-ready AI systems (RAG pipelines, AI agents, document intelligence, and automation platforms) that integrate seamlessly into business processes.
- Strong proficiency in Python (5+ years preferred).
- Hands-on experience with AWS Bedrock and foundation models.
- Deep knowledge of AWS ecosystem.
- Experience with RAG architectures and vector databases.
- Experience in NLP, embeddings, semantic search, and document parsing, prompt engineering and evaluation techniques.
- Strong API development skills (FastAPI / Flask).
- Experience in microservices architecture.
- Strong understanding of CI/CD and DevOps practices.
- Familiarity with containerization (Docker, Kubernetes/EKS).
- You may be assessed on the 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.
Responsibilities
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools.
- Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.