Gen AI/Agentic AI

Gen AI, Agentic AI, and Multi-Agent system jobs focus on building intelligent systems that move beyond content creation (GenAI) to autonomous, goal-oriented decision-making (Agentic) and collaborative, multi-step workflows (Multi-Agent). Key roles involve engineering AI using frameworks like LangChain, AutoGen, and LangGraph.

Key Job Roles & Responsibilities:

• AI Engineer - GenAI & Agentic Systems: Design, implement, and deploy advanced AI-powered solutions, focusing on LLM orchestration, Retrieval-Augmented Generation (RAG), and vector databases.
• Agentic AI Developer: Develop, test, and maintain autonomous agents that can plan, reason, and act to achieve complex goals, including integrating agents with external systems.
• Multi-Agent System Specialist: Build, orchestrate, and optimize collaborative teams of specialized AI agents, enabling them to negotiate, share information, and execute complex workflows.
• AI Product Manager/Lead: Define the strategic vision for AI agent solutions, ensuring alignment with client business objectives, and managing AI safety and governance.

Required Skills & Technologies:

• Frameworks & Libraries: LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex.
• AI/ML Concepts: Large Language Models (LLMs), Prompt Engineering, Vector Databases, RAG, Reinforcement Learning.
• Technical Skills: Python, Node.js, React, API integration, Database management.
• Domain Expertise: Familiarity with autonomous decision-making systems and multi-agent systems.

Common Responsibilities:

• Building Autonomous Agents: Creating agents that can plan, reason, and act on their own.
• Multi-Agent Coordination: Designing systems where multiple agents work together to solve complex problems.
• System Integration: Connecting AI agents to external systems and databases to perform actions.
• Monitoring & Optimization: Tracking agent performance using tools like LangSmith or Splunk.
• RAG Implementation: Building retrieval-based systems to enhance AI knowledge.
• Ethical AI: Ensuring fairness and safety in autonomous systems.

Job Types: Full-time, Permanent, Contractual / Temporary
Contract length: 6 months

Pay: ₹700,000.00 - ₹1,502,929.25 per year

Benefits:

• Health insurance
• Provident Fund

Experience:

• AI: 2 years (Preferred)

Work Location: In person