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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