Designs, develops, tests, deploys, and maintains secure, scalable cloud-native full-stack applications using AI-first engineering practices. Translates business outcomes into technical specifications, architecture decisions, and acceptance criteria; builds APIs and modern application solutions; and supports quality, security, reliability, observability, incident resolution, automation, and continuous improvement. Collaborates with product, architecture, security, operations, and business teams while using AI-assisted development tools responsibly.
Description and Requirements
Role Description
The AI Engineer (Full Stack Engineering) designs, develops, tests, deploys, and maintains modern cloud-native applications using an AI-first engineering model. This role requires strong full-stack capability, upfront architecture and specification skills, responsible use of AI coding assistants, and ownership of quality, security, reliability, and production readiness.
Key Responsibilities
Candidate Qualifications
Tech Stack
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.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
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
Role Description
The AI Engineer (Full Stack Engineering) designs, develops, tests, deploys, and maintains modern cloud-native applications using an AI-first engineering model. This role requires strong full-stack capability, upfront architecture and specification skills, responsible use of AI coding assistants, and ownership of quality, security, reliability, and production readiness.
Key Responsibilities
- Apply AI-first engineering practices across discovery, requirements, design, development, testing, deployment, operations, and continuous improvement.
- Translate business outcomes into clear technical specifications, architecture decisions, NFRs, design notes, and acceptance criteria.
- Build secure, scalable, resilient, observable, and maintainable full-stack solutions.
- Use AI responsibly to improve engineering productivity and software delivery quality.
- Partner with product, architecture, security, operations, and business teams to deliver aligned outcomes.
- Support incident resolution, automation, simplification, and continuous improvement activities.
Candidate Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience.
- At least 3 years of experience developing enterprise applications using modern full-stack, API, data, and cloud technologies.
- Hands-on experience with AI-assisted software delivery, GitHub Enterprise, and GitHub Copilot.
- Exposure to Azure AI Foundry, Copilot SDK, Semantic Kernel, AI agents, RAG, and LLM application patterns is preferred.
- Strong knowledge of Agile, DevOps, CI/CD, automated testing, API-first development, domain-driven design, and shift-left quality and security practices.
- Ability to clearly articulate requirements, design intent, constraints, trade-offs, and outcomes for people and AI-assisted platforms.
Tech Stack
- AI & Developer Productivity: GitHub Enterprise, GitHub Copilot, Azure AI Foundry, Microsoft Copilot ecosystem, Copilot SDK, Semantic Kernel, AI agents, RAG, LLM patterns.
- Cloud & Architecture: Microsoft Azure, cloud-native architecture, microservices, APIs, containers/Kubernetes, event-driven architecture, observability.
- Delivery & Engineering: Azure DevOps, Git, CI/CD, automated testing, SonarQube, secure coding, infrastructure as code, Agile, DDD, API-first, ADRs, NFRs.
- Development & Operations: Java, Spring Boot, ReactJS, HTML, JavaScript, mobile frameworks, SQL/NoSQL, authentication/authorization, API management, Veracode, Azure Application Insights, Elastic, logging, and monitoring.
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.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
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
MetLife Hyderabad, Telangana, IND Office
MetLife Hyderabad, IN Office
11th, 12th & 13th Floor, Prestige Sky Tech, Poppalagunda Village, Gandipet Mandal, Hyderabad, Telangana, India, 500032
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Develop and maintain cloud-native applications across front-end, back-end, APIs, and databases. Apply cloud, AI/data, CI/CD, DevOps, and Agile practices; troubleshoot production issues; and collaborate with global teams on digital transformation initiatives. The role requires Java, Spring Boot, ReactJS, Azure, SQL Server, Cosmos DB, Swift, and React Native experience, along with business proficiency in English and Japanese.
Top Skills:
AgileAPIsAzure DevopsAzure KubernetesCi/CdCloud-Native ApplicationsCosmos DbDevOpsJavaReact NativeReactSpring BootSQL ServerSwift
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Designs and executes automated tests across web, API, and native applications. Develops and maintains test automation frameworks, applies test methodologies, and supports CI/CD, test-driven development, and Agile practices. Performs performance testing using JMeter and BlazeMeter, with preferred programming experience in Java or TypeScript. The role requires collaboration within financial services or technology environments and hands-on automation expertise.
Top Skills:
AgileApi TestingAzure DevopsBlazemeterCi/CdJavaJmeterNative Application TestingTest Automation FrameworksTest-Driven DevelopmentTypescriptWeb Testing
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads quality engineering for disability and absence solutions by defining risk-based testing strategies, building automated tests across user interfaces, APIs, databases, integrations, and workflows, and integrating testing into CI/CD pipelines. Oversees defect triage, root-cause analysis, release validation, and production readiness. Ensures performance, security, privacy, accessibility, regulatory, and operational quality while mentoring engineers and advising stakeholders.
Top Skills:
Ai-Assisted Engineering ToolsAzureCi/CdContainersGitJavaJavaScriptObservability PlatformsPlaywrightPostmanPythonRest AssuredSeleniumSQLToscaTypescript
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
