Sr. Software Platform Engineer II

MetLife; Hyderabad; On-site; INR 3,000,000 - 4,000,000; Full time

Job summary

MetLife is seeking an experienced AI/Platform Engineer to design and develop AI agents and multi-agent systems for enterprise workflows. You will build agent orchestration frameworks that leverage LLMs and integrate tools, and develop document processing and knowledge retrieval solutions.

You will also work on end-to-end AI-enabled applications, backend integration, and scalable microservices with a focus on production-grade reliability and observability.

Qualifications

• 8–12 years of experience in software engineering with focus on AI/ML or platform development.
• Experience with AI/ML production solutions and LangChain or Semantic Kernel.
• Knowledge of prompt engineering, RAG architecture, vector databases.
• Hands-on experience with Copilot/Agent-based systems and document processing or NLP-based apps.

Responsibilities

• Design and develop AI agents and multi-agent systems for enterprise use cases (workflow automation, copilots, decision systems).
• Build agent orchestration frameworks leveraging LLMs and tool integrations.
• Develop solutions for document processing, summarization, classification, and knowledge retrieval systems.

Skills

Python

SQL

Microservices

RESTful APIs

Backend development

LLM frameworks

Prompt engineering

Vector databases

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Azure DevOps

LangChain

Semantic Kernel

Harness frameworks

Job description

• Design and develop AI agents and multi-agent systems for enterprise use cases (workflow automation, copilots, decision systems).
• Build agent orchestration frameworks leveraging LLMs and tool integrations.
• Develop solutions for document processing, summarization, classification, and knowledge retrieval systems.

Key Responsibilities-

AI / Agent Development

• Design and develop AI agents and multi-agent systems for enterprise use cases (workflow automation, copilots, decision systems).
• Build agent orchestration frameworks leveraging LLMs and tool integrations.
• Develop solutions for document processing, summarization, classification, and knowledge retrieval systems.

Application Engineering & Platform Integration

• Develop end-to-end AI-enabled applications integrating:
  • Backend systems
  • APIs and microservices
  • Data platforms
• Ensure seamless integration with enterprise systems across claims platforms, document hubs, and workflow engines.

Software Engineering & Architecture

• Build and maintain scalable microservices-based architectures using modern software engineering practices.
• Implement robust APIs and reusable frameworks for AI services.
• Ensure high standards in code quality, performance optimization, and maintainability.

Data, DevOps & Production Support

• Design and manage data pipelines, storage, and retrieval mechanisms.
• Leverage Azure DevOps and CI/CD pipelines for automated build, release, and deployment.
• Provide production support, monitoring, and continuous improvements for deployed AI solutions.

Technical Skills

Core Engineering Skills

• Programming: Python (mandatory), strong backend development experience
• Database: SQL (data modeling, querying, performance tuning)
• Architecture: Microservices architecture, RESTful APIs
• Application Engineering: End-to-end solution design (backend + integrations)

AI / ML & Automation

• Experience with AI/ML solutions in production environments
• Experience with LLM frameworks (LangChain, Semantic Kernel, or similar)
• Knowledge of prompt engineering, RAG architecture, vector databases
• Hands-on experience with:
• AI-driven automation platforms
• Copilot / Agent-based systems
• Document processing or NLP-based applications
• Leverage and develop Harness framworks and AI Tools (mandatory)

Platform & DevOps

• Azure ecosystem (preferred)
• Azure DevOps (CI/CD pipelines, release management)
• Knowledge of cloud-native application development

Frameworks & Engineering Practices

Strong Grounding In

• Software engineering frameworks and patterns
• API-first design
• Scalable and distributed systems

Preferred Skills

• Experience in Disability, Insurance, or Claims domain
• Familiarity with observability tools (Application Insights, monitoring frameworks)
• Exposure to enterprise AI governance, security, and compliance

Experience

8–12 years of experience in software engineering with focus on AI/ML or platform development