AI / ML & AGENTIC AI DEVELOPMENT
Design and develop AI agents using modern LLM frameworks and orchestration systems.
Build autonomous and semi-autonomous workflows including:– Tool calling and multi-agent systems– Memory management and Retrieval-Augmented Generation (RAG)– Planning and reasoning pipelines– Human-in-the-loop workflows
Develop custom AI pipelines for enterprise use cases: automation, analytics, customer support,document intelligence, and workflow orchestration. Fine-tune, evaluate, and optimize ML/LLM models for accuracy, latency, and cost efficiency.
Integrate AI systems with APIs, databases, CRMs, ERPs, and third-party platforms.INFRASTRUCTURE & DEPLOYMENT Deploy AI applications on cloud platforms such as AWS, Azure, or GCP.
Build scalable inference and agent execution pipelines.TECHNICAL SKILLS 4+ years of experience in AI/ML engineering or related software engineering roles.
Strong experience with Python and modern backend frameworks. Hands-on experience with LLMs, agentic AI frameworks, RAG systems, prompt engineering, andAI orchestration tools.
Experience with REST APIs, microservices, and event-driven architectures. Familiarity with CI/CD pipelines and MLOps practices.FRAMEWORKS & TOOLS
LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen Vector databases and semantic search systems
AI orchestration and agentic workflow toolsCORE KNOWLEDGE AREAS Natural Language Processing (NLP)
Deep learning and model evaluation AI safety and guardrails Distributed systems
Pay: Up to ₹1,800,000.00 per year
Work Location: In person
