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Lead Assistant Manager

exl Service.com (India) Private Limited
Bengaluru, IND
Full-time
Lead · 5+ years experience
Hybrid
Discovered 4 days ago
awsazuredockergcpgeminikubernetes

Full Job Posting

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

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

Qualifications

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

Preferred Qualifications

  • Desired Skills & Knowledge

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