AI/ML +Agentic AI Eng( 6 yrs Hyderabad)

About The Opportunity

A fast-scaling AI-first tech firm in the Enterprise Automation & Agentic AI space, we build autonomous, multi-agent systems that automate enterprise workflows, enhance decision intelligence, and power intelligent automation across banking, healthcare, and logistics. Our engineers ship scalable, LLM-powered agent architectures that operate across structured and unstructured data domains—leveraging Python, LangChain, LlamaIndex, and open-source ML ecosystems to deliver real business impact. Role & Responsibilities

• Design and deploy end-to-end agentic AI workflows—orchestrating multiple LLM agents across tools, APIs, and data sources to automate complex business decisions.
• Build and optimize agent memory, planning, and tool-calling systems using LangGraph, AutoGen, or similar frameworks for context-aware, persistent interactions.
• Integrate LLMs (e.g., GPT-4, Llama 3, Mistral) with RAG pipelines, vector stores (FAISS, Pinecone), and function-calling modules to deliver high-accuracy, low-latency responses.
• Develop scalable AI agent backends in Python, containerized via Docker and orchestrated on Kubernetes (EKS/AKS), with observability via Prometheus/Grafana.
• Partner with product and data science teams to define agent personas, success metrics, and fallback/recovery logic for high-availability systems.
• Maintain engineering excellence: write clean, testable code, implement CI/CD pipelines, and document system architecture for team scalability.

Skills & Qualifications

Must-Have

• Python
• LangChain
• LangGraph
• AutoGen
• RAG
• FAISS
• LLM Fine-Tuning
• Kubernetes

Preferred

• LLM Agent Evaluation Frameworks (e.g., LangSmith, TruLens)
• Multi-Agent System Design Patterns
• Cloud Certification (AWS/Azure/GCP)

Benefits & Culture Highlights

• Work onsite in Hyderabad with a high-impact, research-driven team building next-gen agentic AI solutions.
• Access to latest LLM APIs, compute resources, and internal hackathons to prototype cutting-edge agent architectures.
• Flexible PTO, performance bonuses, and a mission-driven culture focused on shipping real AI products—not just experiments.

Skills: aws,ml,llms,python