Job Description

As a Software Engineer you will drive the design and delivery of cutting-edge solutions in Agentic AI, Generative AI (GenAI), Conversational AI leveraging AWS services. You will lead initiatives to build Agentic AI, Conversational & Generative AI use cases with Large Language Models , and integrate advanced AI/ML capabilities into enterprise products. This role requires robust technical leadership, hands-on development expertise, and the ability to translate business needs into scalable AI solutions.

You Will
Support use cases across multiple business domains.
Own the end-to-end product lifecycle for Generative AI, Agentic AI, AI/ML solutions, from design to deployment.
Act as a bridge between business and technology teams, ensuring alignment of requirements and technical specifications.
Enable data-driven insights and AI-powered automation for Conversational AI, GenAI, and ML use cases.

Key Responsibilities
Design & Implement Agentic, GenAI Solutions: Build robust Generative AI and Agentic AI applications using AWS Bedrock, SageMaker,



and other AWS ML services.
Develop LLM bases Use Cases: Architect and implement LLM based use cases like RAG, Summarization, data analysis etc. for enterprise-scale applications.
LLM Finetuning & Evaluation: Fine-tune, evaluate, and optimize Large Language Models (LLMs) for performance, accuracy, and safety.
Conversational AI Expertise: Design and deploy conversational AI models using Amazon Lex, Amazon Connect, and custom NLP pipelines.
Integration & Collaboration: Work closely with product managers, engineers, and UX teams to embed AI capabilities into business workflows.
Innovation & Research: Stay ahead of AI trends, frameworks, and best practices; apply them to drive continuous innovation.
Quality & Governance: Maintain system design integrity, review test strategies, and ensure compliance with AI ethics and security standards.
Incident Support: Assist in diagnosing and resolving product

📌 Software Engineer Pune (India)
🏢 Barclays
📍 India