Lead Assistant Manager

Job Description: 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

Responsibilities: Lead medium sized digital product ownership projects. Oversee Agile standards and documentation. Mentor junior team members. Collaborate with other departments.

Qualifications: Graduate in Computer Science, Information Technology, Business, or a related field. 3-4 years of experience in digital product management or IT.