Sr. Software Platform Engineer II
Key Skills for This Role
Full Job Posting
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.
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
About MetLife
Global provider of insurance, annuities, and employee benefits.
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