Generative AI Software Engineer

Overview

Hands-on Generative AI Software Engineer in Group AI's AI Strategy, Strategic Partnerships and Enablement organization, evaluating, prototyping and scaling emerging AI technologies across the firm.

What you'll do

• Design and build LLM-powered AI agents that automate and streamline AI Strategy workflows end-to-end.
• Build rapid proofs of concept (PoCs), prototypes, and production-ready solutions to validate emerging technologies and business use cases.
• Develop scalable APIs, microservices, and backend services that integrate AI capabilities into enterprise applications.
• Build high-quality, reliable products with user experience at the center.
• Contribute to the evolution of the core AI Strategy platforms: architecture, performance, and reliability.
• Maintain strong engineering discipline: clean architecture, performance optimization, testing, and documentation.

What you'll need

• 7+ years of software engineering experience building enterprise-grade applications and platforms.
• Fluency in at least two programming languages, with strong preference for Python and JavaScript/TypeScript.
• Ability to build and own end-to-end features across backend services and user-facing interfaces.
• Strong proficiency in Python and modern AI development frameworks such as FastAPI, Flask, Pandas, Scikit-learn, Hugging Face, LangChain, and LangGraph.
• Hands-on experience building Generative AI applications using proprietary and open-weight LLMs.
• Deep understanding of RAG architectures, prompt engineering, agent orchestration, model evaluation, and AI application design patterns.
• Hands-on experience with Docker, Kubernetes, and OpenShift.
• Proven ability to design and deploy scalable, resilient microservices in containerized environments.
• Solid understanding of relational databases (PostgreSQL) and NoSQL platforms (MongoDB), as well as cloud data warehousing with Snowflake.
• Ability to design appropriate data models for AI-driven applications, including vector stores and knowledge bases.
• Strong commitment to clean architecture, test coverage, documentation, and adherence to engineering standards.

Nice to have

• Experience in regulated or enterprise environments.
• Experience with AI observability platforms, LLM evaluation frameworks, and software development agents.
• Familiarity with AI governance, model risk management, data privacy, and security requirements in regulated environments.
• Experience evaluating third-party AI platforms, startup technologies, or emerging AI solutions.
• Financial services, fintech, or other regulated-industry experience.

Details

• Location: Pune, Maharashtra, India.
• Full-time position.
• Joins an existing global team based in the US, UK and India, alongside strategy analysts, project/product managers and engineers.