Full Stack Engineer

Philips is hiring a Full Stack Engineer for an on-site, full-time role in Bengaluru. The role focuses on developing scalable full-stack applications using either C#/.NET or Java, while also building AI-enabled enterprise solutions.

The position combines full-stack software engineering with modern AI application development, including Model Context Protocol (MCP), AI agents, reusable AI skills, orchestration frameworks, AI harnesses, and Retrieval-Augmented Generation.

Key Responsibilities

• Design, develop, and maintain scalable full-stack applications using C#/.NET or Java.
• Build AI-powered solutions aligned with Project Elevate.
• Design and implement MCP servers and clients connecting AI models with enterprise tools, APIs, applications, and data sources.
• Develop and orchestrate AI agents for reasoning, planning, tool usage, workflow execution, and multi-step task completion.
• Create reusable AI skills, tools, prompts, and workflows.
• Develop an AI harness for model integration, prompt execution, tool orchestration, evaluation, observability, guardrails, and performance monitoring.
• Integrate large language models with enterprise applications and engineering platforms.
• Implement Retrieval-Augmented Generation solutions using enterprise data.
• Develop APIs, microservices, backend services, and responsive user interfaces.
• Collaborate with product owners, architects, domain experts, verification teams, and other stakeholders.
• Troubleshoot application, integration, model, and agent execution issues.

Required Skills

• Full Stack Development
• C# / .NET OR Java
• .NET Core
• ASP.NET Core
• Web API
• Entity Framework
• Java
• Spring Boot
• Spring Framework
• REST APIs
• JPA / Hibernate
• React
• Angular
• JavaScript
• TypeScript
• Microservices
• Object-Oriented Programming
• Design Patterns
• Data Structures
• System Design
• Relational Databases
• NoSQL Databases
• Git
• CI/CD
• Containerization
• Cloud-Native Development
• Model Context Protocol (MCP)
• MCP Servers
• MCP Clients
• AI Agents
• AI Skills
• AI Tools
• AI Harness
• Large Language Models
• Generative AI
• Prompt Engineering
• Context Engineering
• Structured Outputs
• Tool Calling
• Function Calling
• Agentic AI
• RAG
• Embeddings
• Vector Databases
• Semantic Search
• AI Evaluation
• AI Observability
• Guardrails
• Responsible AI
• AI Security
• AI Privacy
• Hallucination Mitigation
• Human-in-the-Loop Workflows

Preferred / Additional Skills

• Agentic AI Frameworks
• AI Orchestration Patterns
• Model Selection and Routing
• Prompt Management
• Response Validation
• Evaluation and Benchmarking
• Document Processing
• Chunking
• AI Performance Monitoring
• Groundedness Evaluation
• AI Cost Optimization