Lead Assistant Manager

Generative AI Developer Experience: 5-10 Years Role Overview We are seeking a Generative AI Developer to design and build enterprise AI solutions using LLMs, RAG, and Agentic AI technologies. The role involves developing scalable, secure, and production-ready applications that enable intelligent automation and business transformation. Key Responsibilities Develop and deploy Generative AI applications, AI agents, and conversational AI solutions. Build RAG-based systems and intelligent workflows using enterprise data sources. Integrate AI solutions with enterprise applications, APIs, and databases. Develop backend services and optimize AI applications for performance, accuracy, and cost. Implement security, governance, monitoring, and compliance controls. Collaborate with cross-functional teams to deliver production-ready solutions. Required Skills Hands-on experience with LLMs and Generative AI platforms (OpenAI, Azure OpenAI, Gemini, Claude, Llama, etc.). Strong understanding of Prompt Engineering, RAG, embeddings, semantic search, and AI guardrails. Experience with AI Agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar. Strong proficiency in Python, REST APIs, and microservices development. Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with vector databases, SQL/NoSQL databases, and AI application deployment. Knowledge of Docker, Kubernetes, CI/CD, and LLMOps/MLOps practices. Desired Skills & Knowledge Experience building AI copilots, AI agents, or enterprise automation solutions. Understanding of Knowledge Graphs, Graph RAG, MCP, and Human-in-the-Loop workflows. Exposure to enterprise platforms such as CRM, ERP, Claims, Underwriting, or Customer Service systems. Understanding of Insurance, Banking, Healthcare, Retail, or Financial Services domains. Education & Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. 5+ years of software development experience. 2+ years of hands-on experience building Generative AI or LLM-based applications. Experience delivering enterprise-grade production solutions. What You'll Build AI Copilots and Virtual Assistants AI Agents and Multi-Agent Systems RAG-Powered Knowledge Platforms Intelligent Workflow Automation Solutions Lead medium sized digital product ownership projects. Oversee Agile standards and documentation. Mentor junior team members. Collaborate with other departments. Graduate in Computer Science, Information Technology, Business, or a related field. 3-4 years of experience in digital product management or IT.