Gen AI Developer/Engineer
Experience: Total Experience: 10-15 years, AI-ML and Gen AI Experience: 4–6 years
Strong fundamentals and real‑world production exposure. Responsible for building, deploying, and operating Gen AI solutions using modern agentic architectures.
Core Responsibilities
- Design, develop, and deploy Gen AI and ML solutions using Azure Open AI, Azure ML, Azure AI Studio, and related services
- Build LLM‑powered applications using: Prompt engineering, Tool/function calling, Retrieval‑Augmented Generation (RAG) and Agentic AI design patterns
- Develop Agent‑to‑Agent (A2 A) workflows for task decomposition, orchestration, and collaboration
- Implement Model Context Protocol (MCP) to standardize tool access, memory, and context management across agents
- Apply MLOps and LLMOps practices:
- CI/CD for models and prompts and Versioning, monitoring, evaluation
- Failure detection and mitigation (hallucinations, drift, prompt regressions)
- Implement LLM security and guardrails:
- Prompt injection prevention,




- Data leakage protection and Output moderation and policy enforcement
- Fine‑tune and adapt models for economy - token economics, latency, and cost optimization
- Build and expose AI capabilities via secure APIs and microservices
- Collaborate with architects, data engineers, and platform teams
- Actively research and document emerging Gen AI techniques and tools
Mentor junior engineers and contribute to internal knowledge assets
Technology Stack
- Programming: Python (PEP8 / Google Python standards)
- LLMs: Azure Open AI, Open AI, open‑source and local LLMs
- AI Platforms: Azure ML, Azure Databricks, Azure AI Services
- Agent Frameworks: Lang Chain, Lang Graph, Semantic Kernel (or equivalent)
- Protocols & Patterns: MCP, A2 A, RAG variants
- Dev Ops: Docker, REST APIs, CI/CD pipelines
- Datastores: SQL‑based RDBMS, Vector databases
- Graph databases: Neo4j, Graph DB
Soft Skills
- Solid ownership mindset and delivery focus
- Ability to work in agile,

📌 Generative ai engineer (Noida)
🏢 Birlasoft
📍 Noida