5–8 years Role Overview We are looking for a highly skilled Senior Full-Stack Engineer with strong expertise in either C#/.NET or Java and proven experience in designing and developing AI-enabled enterprise solutions. The ideal candidate should have a strong software engineering foundation combined with deep hands-on expertise in modern AI application development, including Model Context Protocol (MCP), AI agents, reusable AI skills, orchestration frameworks, and AI harnesses. Key Responsibilities Design, develop, and maintain scalable full-stack applications using either: C#/.NET, ASP.NET Core, and related Microsoft technologies; or Java, Spring Boot, and related Java technologies. Build AI-powered solutions aligned with the objectives of Project Elevate. Design and implement MCP servers and clients to connect AI models with enterprise tools, applications, APIs, and data sources. Develop and orchestrate AI agents capable of reasoning, planning, tool usage, workflow execution, and multi-step task completion. Create reusable AI skills, tools, prompts, and workflows for domain-specific use cases. Develop an AI harness for model integration, prompt execution, tool orchestration, evaluation, observability, guardrails, and performance monitoring. Integrate large language models with existing enterprise applications and engineering platforms. Implement Retrieval-Augmented Generation solutions using structured and unstructured enterprise data. Develop APIs, microservices, backend services, and responsive user interfaces. Collaborate with product owners, architects, domain experts, verification teams, and other stakeholders to translate business requirements into technical solutions. Troubleshoot application, integration, model, and agent execution issues. Mandatory Technical Skills Full-Stack Engineering 5–8 years of qualified software development experience.



Strong expertise in at least one of the following technology stacks: C#/.NET: C#, .NET Core, ASP.NET Core, Web API, Entity Framework; or Java: Java, Spring Boot, Spring Framework, REST APIs, JPA/Hibernate. Strong knowledge of frontend technologies such as React, Angular, JavaScript, or TypeScript. Experience in designing and consuming REST APIs and microservices. Strong understanding of object-oriented programming, design patterns, data structures, and system design. Experience with relational and NoSQL databases. Hands-on experience with Git, CI/CD pipelines, containerization, and cloud-native development. AI Engineering Strong hands-on expertise in the following areas is mandatory: Designing and implementing Model Context Protocol servers, clients, tools, and integrations. Building autonomous or semi-autonomous AI agents. Developing reusable AI skills, tools, functions, and agent capabilities. Creating an AI harness for: Prompt management Model selection and routing Tool invocation Agent orchestration Context management Response validation Evaluation and benchmarking Logging and observability Guardrails and error handling Experience with Large Language Models and generative AI application development. Strong understanding of prompt engineering, context engineering, structured outputs, tool calling, and function calling. Experience with agentic AI frameworks and orchestration patterns. Experience integrating AI models with enterprise applications, APIs, databases, and engineering tools. Knowledge of Retrieval-Augmented Generation, embeddings, vector databases, chunking, document processing, and semantic search. Understanding of AI evaluation techniques, including response quality, groundedness, relevance, accuracy, latency, and cost. Knowledge of responsible AI, security, privacy, hallucination mitigation, and human-in-the-loop workflows.

📌 Full-Stack Engineer AI Competency (Bengaluru)
🏢 HIRESTAR JOB BANK
📍 Bengaluru