Key Responsibilities

● Develop scalable backend applications using Java, Python, Spring Boot, and Spring AI.

● Build and maintain frontend components using Angular.

● Design and develop Generative AI applications leveraging AI Agents, Prompt Engineering, Semantic Models, and MCP.

● Build intelligent agent-based workflows using frameworks such as LangChain, LangGraph, or LangChain4J.

● Develop Proof of Concepts (PoCs) for new AI use cases.

● Work with enterprise AI platforms such as Microsoft Copilot Studio, Amazon Q, or equivalent AI coding assistants.

● Develop and optimize SQL queries, preferably on Snowflake and Snowflake Cortex.

● Integrate enterprise applications using REST APIs, MCP, and other integration protocols.

● Collaborate with cross-functional teams to deliver scalable AI-driven business solutions.

Mandatory Skills

● 4–7 years of software development experience.

● Strong programming skills in Java and Python.

● Hands-on experience with Spring Boot and Spring AI.

● Experience in Angular (TypeScript).

● Strong knowledge of Generative AI, including:

○ AI Agents

○ Prompt Engineering

○ Semantic Models

○ Model Context Protocol (MCP)

● Experience with LangChain, LangGraph, or LangChain4J.

● Strong SQL skills with experience in Snowflake (preferred).

● Experience with Snowflake Cortex is highly desirable.

● Exposure to Microsoft Copilot Studio, Amazon Q, or similar enterprise AI platforms.

● Good understanding of REST APIs and enterprise integration.

Educational Qualification

● Bachelor's degree in Computer Science, Information Technology, or a related discipline.

Preferred Candidate Profile

● Passionate about emerging Generative AI technologies.

● Strong analytical and problem-solving skills.

● Ability to work in an agile development environment.

● Excellent communication and collaboration skills.

● Eager to learn and work on cutting-edge AI solutions.

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