Manager - AI Delivery Product

About Firstsource F irstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.

Job Brief We are seeking a highly experienced and hands-on Lead AI Engineer to drive the design, development, and delivery of enterprise-scale AI products. This role combines technical leadership with deep engineering expertise, requiring active involvement in product feature architecture, full-stack application development, AI/ML model integration, code reviews, release management, and engineering best practices within our AI Product Engineering team.

The ideal candidate will possess strong expertise in Python, Machine Learning, Cloud Technologies, and modern full-stack development, with a proven ability to lead technical teams while remaining actively engaged in coding. They should be passionate about building scalable, production-ready AI products, mentoring engineers, establishing technical standards, and collaborating with Product Managers and cross-functional teams to transform product requirements into robust, high-performance AI-powered product features.

Mandatory Technical Skills

• 7 - 8+ years of hands-on software development experience with strong coding expertise.
• Strong programming experience in Python (Mandatory).
• Experience with Generative AI, Large Language Models (LLMs), RAG, AI Agents, and Agentic AI frameworks.
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks.
• Experience with Vector Databases and Enterprise AI platforms.
• Familiarity with AI-assisted development tools such as GitHub Copilot, Gemini, Cursor, or equivalent.
• Proven experience in designing, developing, and deploying enterprise-grade applications.
• Strong expertise in Full Stack Development: Backend (Python, FastAPI, Flask, Django) and Frontend (React.js, Angular, JavaScript, TypeScript, HTML5, CSS3).
• Experience developing and maintaining REST APIs and Microservices.
• Strong understanding of Object-Oriented Programming (OOP), SOLID Principles, Design Patterns, and Domain-Driven Design (DDD).
• Hands-on experience building, training, fine-tuning, and deploying Machine Learning models.
• Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, and XGBoost.
• Experience deploying AI/ML solutions into production environments and implementing MLOps practices.
• Strong hands-on experience with AWS and/or Azure Cloud Platforms (Mandatory).
• Experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes.
• Experience implementing CI/CD pipelines, DevOps, and Infrastructure as Code.
• Strong understanding of distributed systems, event-driven architecture, scalability, performance optimization, and security best practices.
• Experience working with relational and NoSQL databases.
• Strong debugging, analytical, and problem-solving skills.

Roles And Responsibilities

• Design, develop, test, and deploy scalable full-stack applications using Python and modern front-end frameworks.
• Build and deploy Machine Learning and AI-powered solutions for enterprise use cases.
• Actively contribute to coding, code reviews, debugging, and performance optimization activities.
• Develop and maintain REST APIs, microservices, and cloud-native applications.
• Design scalable, secure, and maintainable software architectures following industry best practices.
• Implement and manage CI/CD pipelines, DevOps, and MLOps processes.
• Deploy, monitor, and optimize applications and ML models on AWS and/or Azure.
• Ensure high standards of code quality through automated testing, peer reviews, and engineering best practices.
• Troubleshoot and resolve complex technical issues across application, infrastructure, and data layers.
• Drive continuous improvement i…