Generative AI Engineer

Position: Generative AI Engineer

Job Type: Permanent

Experience: 5+ Years

Location: Hyderabad , Bangalore

Notice Period: Immediate

Interview Mode: Face-to-Face(F2F) interview on this Saturday , 19th September

Role Overview

We are looking for a Generative AI Engineer to build, optimize, and productionize cutting-edge AI systems. The role focuses on backend AI orchestration, framework integration, model performance, advanced RAG workflows, and multi-agent systems to deliver scalable, production-grade enterprise software.

Key Responsibilities

• AI Orchestration: Build, test, and optimize bespoke Agentic AI solutions and multi-agent workflows.
• Core Product Integration: Develop integration pipelines to embed core AI models into client environments.
• Technical Delivery: Own the technical lifecycle of AI applications from rapid prototyping to stable production releases.
• Optimization & Debugging: Perform technical debugging, root-cause analysis, and latency and prompt optimization.
• Best Practices: Implement engineering best practices for LLM evaluation, guardrails, and version control.
• Risk Management: Identify and flag model drift, data leakage, and system risks at an early stage.

Technical Requirements

• GenAI Ecosystem: 2+ years of hands-on experience building production RAG pipelines and multi-agent systems using LangChain, LangGraph, or LlamaIndex.
• Protocols & Frameworks: Strong understanding of Model Context Protocol (MCP), A2A protocols, and Agent Developer Kits.
• LLM Engineering: Practical proficiency in prompting techniques, fine-tuning workflows, and evaluating LLM outputs.
• Data Science Stack: Strong hands-on experience with Python, pandas, scikit-learn, and PyTorch.
• Cloud & MLOps: Experience deploying and scaling machine learning solutions on AWS, Azure, or GCP.
• DevOps & Containers: Working knowledge of Docker, Kubernetes, CI/CD pipelines, and GitHub Actions.
• Backend Stack: Production-grade backend development skills in Python, with basic familiarity with JavaScript/TypeScript for API integrations.