AI Application Developer

Were seeking an experienced AI Applications Developer to drive integration of the Generation AI into our data protection & recovery solutions platform.

You would be building production-grade AI systems that integrate into existing product and leverage Generative AI advancements. You would be responsible for agentic workflows that enable conversational AI complex process automation and seamless troubleshooting in customer product journey.

Responsib i li ti es

Design develop and maintain Generation AI applications and intelligent agents tailored for product needs

Write clean & testable code following CI / CD & DevOps best practices.

Develop and maintain backend services for AI applications

End-to-end solutioning for AI agents and agentic workflows

Build effective semantic search systems for LLM application workflows using vector databases and embedding technologies

Building LLM integrations for external information with function / tools calling and leveraging latest standards like Model Context Protocol (MCP) agent-to-agent protocol(A2A)

Collaborate with cross-functional teams to integrate LLM capabilities into existing products

Stay up to date with the latest advancements in Generative AI technologies and best practices

Requirements

Core Software Engineering

4 years of professional software development experience with a proven track record of shipping production code

Strong problem-solving skills with commitment to write clean testable and maintainable code

Strong proficiency in Python / Go including a solid understanding of asynchronous programming

Experience building and maintaining REST APIs using modern backend frameworks

Familiarity with both SQL and NoSQL databases

Generative AI and LLM expertise

Proven experience building applications with LLM development frameworks (E.g. Langchain LangGraph Dspy or similar)

Demonstrable experience in designing and building AI agentic workflows including function / tools calling to give LLM access to external information

Deep understanding of semantic search concepts including RAG vector embeddings and hands-no experience with vector databases (E.g. Milvus Pinecone Chroma or similar)

Strong knowledge of prompt engineering context engineering and principles of LLM evaluation

Production Systems and DevOps Practices

A strong understanding of secure coding practices and application observability (monitoring logging & tracing)

Proficiency with application containerization and version control systems

Hands-on experience of building / maintaining MLOps and CI / CD pipelines using Internal Developer Platform (IDP)

Proven experience of deploying applications on cloud platforms (AWS GCP or Azure etc.)

Bonus Skills

Understanding of workflows in data backup and recovery products

Familiarity with LLM fine-tuning techniques (e.g. LoRA PEFT)

Experience with container orchestration (e.g. Kubernetes)

Key Skills

APIs,MVC,SQL,Spring,.NET,ASP.NET,Microsoft SQL Server,C#,Angular,Application Development,JavaScript,Java

Employment Type : Full-Time

Experience : years

Vacancy : 1