Position Summary

Development of AIdriven solutions, agentic workflows, and automation capabilities that accelerate business processes across the organization. Candidates will work closely with senior AI engineers, product owners, and business teams to design, prototype, and deploy intelligent systems using LLMs, embeddings, vector search, and Azure AI tools.

Job Responsibilities
This is an excellent chance for someone early in their career to grow into advanced AI engineering, agentic architectures, and enterprise-scale AI delivery.
Assist in designing, developing, and testing AI agents, GenAI workflows, and LLM-powered solutions.
Support implementation of retrieval-augmented workflows (RAG) including embeddings, vector databases, and context engineering.
Develop Python-based backend components, APIs, and integration logic for AI-driven systems.
Collaborate with senior AI engineers to build multi-agent workflows, tool integrations, and agent orchestration pipelines.
Contribute to development within AI platforms, Azure AI Foundry, and MCP-based tool ecosystems.
Work with business stakeholders to understand problem statements and translate them into AI-enabled solutions.
Perform testing, validation, and evaluation of LLM outputs, including applying guardrails and quality checks.




Maintain documentation for prompts, workflows, tools, and AI system behaviors.
Participate in Agile ceremonies and sprint activities within the AI engineering team.

Education
Bachelor’s degree in computer science, AI/ML/DS, Information Systems, Engineering, or a related field.
Solid understanding of Python (preferred) or another major programming language (JavaScript/TypeScript, Java, etc.).

Experience
1–2 years of hands-on experience in AI/ML, Generative AI, or software engineering involving LLMs.

Other Requirements (licenses, certifications, specialized training – if required)
Experience using Agentic AI frameworks such as:
LangChain
LangGraph
Azure AI Agent Services
Familiarity with MCP (Model Context Protocol) concepts and tool integrations.
Basic understanding of vector search (Azure AI Search, Pinecone, FAISS).
Experience with GitHub Copilot, OpenAI Vibe Coding, or similar AI coding assistants.
Knowledge of cloud-native development (Functions, Storage, APIM, serverless patterns, Azure App Services).
Understanding common AI safety and governance principles.
Exposure to agile development practices.

📌 Ai Engineer Uttar Pradesh
🏢 MetLife
📍 Uttar Pradesh