Job Responsibilities
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.
Knowledge, Skills and Abilities
Education
• Bachelor's degree in computer science, AI/ML/DS, Information Systems, Engineering, or a related field.
• Strong understanding of Python (preferred) or another major programming language (JavaScript/TypeScript, Java, etc.).
• Familiarity with foundational AI concepts:
Experience
• 1-2 years of hands-on experience in AI/ML, Generative AI, or software engineering involving LLMs.
Knowledge and skills (general and technical)
• 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.
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.
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
Skills Required
- Bachelor's degree in computer science or related field
- 1-2 years hands-on experience in AI/ML or software engineering
- Strong understanding of Python or another programming language
- Experience with API development or integrating with REST-based services
- Familiarity with foundational AI concepts
What the Team is Saying
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MetLife Compensation & Benefits Highlights
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Retirement Support — Retirement benefits combine a 401(k) with company match and a company‑funded cash‑balance pension. This uncommon pairing strengthens long‑term security.
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Parental & Family Support — Family supports include paid parental leave, adoption assistance, caregiving resources, fertility coverage, and practical travel supports for nursing parents. These provisions go beyond core insurance to address real‑world family needs.
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Leave & Time Off Breadth — Time away includes a minimum of 22 days of PTO annually and a paid volunteer day, alongside bereavement and other leave options. This breadth provides meaningful flexibility for rest and life events.
MetLife Insights
What We Do
We're honored to be No. 10 on Great Place to Work's World's Best Workplaces and recognized in the Fortune 100 Best Companies to Work For® list in 2025. At MetLife, we're leading the global transformation of an industry we’ve defined for over 157 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.
Why Work With Us
At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.
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MetLife Teams
MetLife Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together
