DL
Gen AI Engineer
Diverse Lynx India
Location not stated
1 month ago
- Machine Learning
- AI
- RAG
- Risk Management
- LangChain
- LangGraph
- LlamaIndex
- MCP
- Python
- Pandas
- scikit-learn
- PyTorch
- MLOps
- AWS
- Azure
- GCP
- Devops
- Docker
- Kubernetes
- CI/CD
- GitHub Actions
- JavaScript
- TypeScript
1 month ago
Location - ALL Wipro Location
Role Overview
We are looking for a Generative AI Engineer to build, optimize, and productionise cutting-edge AI systems. You will focus heavily on backend AI orchestration, framework integration, and model performance. In this role, you will take advanced RAG workflows and multi-agent concepts and turn them into scalable, production-grade enterprise software.
Key Responsibilities
- AI Orchestration: Build, test, and optimize bespoke Agentic AI solutions and multi-agent workflows.
- Core Product Integration: Co-develop integration pipelines to embed core AI models into client environments.
- Technical Delivery: Own the technical lifecycle of AI applications from rapid prototype to stable production release.
- Optimization & Debugging: Perform technical debugging, root-cause analysis, and latency/prompt optimizations.
- 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 early.
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 Protocols (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 leveraging 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 coding skills in Python, with basic familiarity in JavaScript/TypeScript for API integrations.
Gen AI Engineer · Diverse Lynx India