Support design, development, testing, and deployment of LLM-powered agents, RAG workflows, and vector search solutions. Build Python backend components, APIs, and integrations, validate LLM outputs with guardrails, document prompts and workflows, and collaborate with senior engineers and stakeholders within Agile teams to deliver enterprise AI solutions.
Description and Requirements
This is an excellent opportunity 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.
Skill requirements:
• LLMs
• Embeddings
• Vector databases
• Prompt engineering
• Retrieval workflows (RAG)
• Experience with API development or integrating with REST-based services.
• Exposure to cloud platforms such as Azure (preferred), AWS, or GCP.
• Strong analytical and problem-solving skills.
• Good communication, a learning mindset, and the ability to collaborate with cross-functional teams.
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.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
This is an excellent opportunity 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.
Skill requirements:
• LLMs
• Embeddings
• Vector databases
• Prompt engineering
• Retrieval workflows (RAG)
• Experience with API development or integrating with REST-based services.
• Exposure to cloud platforms such as Azure (preferred), AWS, or GCP.
• Strong analytical and problem-solving skills.
• Good communication, a learning mindset, and the ability to collaborate with cross-functional teams.
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.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
No responsibilities or requirements are provided; the job description is listed as TBD.
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Prepare monthly/quarterly accounting entries and reconciliations per US GAAP, support financial reporting and close processes, perform variance analysis and balance sheet certifications, run system reports, respond to ad-hoc requests, and support process improvement and automation.
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead and own multiple process re-engineering workstreams in operations/corporate functions: assess current state, design target operating models, identify and prioritize improvements, build business cases, create stakeholder deliverables (PowerPoint/Word/Excel), coach junior team members, and contribute to practice-building and knowledge sharing.
Top Skills:
ExcelMs PowerpointMs WordVisio
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
