AI Application Developer

We're 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.

Responsibilitie

• sDesign, develop, and maintain Generation AI applications and intelligent agents tailored for product need
• sWrite clean & testable code following CI/CD & DevOps best practices
• .Develop and maintain backend services for AI application
• sEnd-to-end solutioning for AI agents and agentic workflow
• sBuild effective semantic search systems for LLM application workflows using vector databases and embedding technologie
• sBuilding 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 product
• sStay up to date with the latest advancements in Generative AI technologies and best practice

sRequirement

sCore Software Engineeri

• ng 4+ years of professional software development experience, with a proven track record of shipping production c
• odeStrong problem-solving skills, with commitment to write clean, testable and maintainable c
• odeStrong proficiency in Python/Go, including a solid understanding of asynchronous programm
• ingExperience building and maintaining REST APIs using modern backend framewo
• rksFamiliarity with both SQL and NoSQL databa

sesGenerative AI and LLM expert

• ise Proven experience building applications with LLM development frameworks (E.g. Langchain, LangGraph, Dspy or simi
• lar)Demonstrable experience in designing and building AI agentic workflows, including function/tools calling to give LLM access to external informa
• tionDeep understanding of semantic search concepts, including RAG, vector embeddings, and hands-no experience with vector databases (E.g. Milvus, Pinecone, Chroma, or simi
• lar)Strong knowledge of prompt engineering, context engineering and principles of LLM evalua

tionProduction Systems and DevOps Pract

• ices A strong understanding of secure coding practices and application observability (monitoring, logging & tra
• cing)Proficiency with application containerization and version control sy
• stemsHands-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 S

• kills Understanding of workflows in data backup and recovery pr
• oductsFamiliarity with LLM fine-tuning techniques (e.g. LoRA,
• PEFT)Experience with container orchestration (e.g. Kuber