AI Application Developer

• Design, develop, and maintain Generative AI powered applications
• 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
• Implement Agent capabilities with latest standards like MCP, A2A protocols
• Build effective semantic search systems for LLM application workflows
• Building function calls tooling for application workflows
• Work with vector databases and embedding technologies
• 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:

• 4-6 years of professional software development experience
• Strong proficiency in Python/Go
• Knowledge of asynchronous programming in Python/Go
• Experience with LangChain/LangGraph/Dspy or similar LLM application development frameworks
• Experience in function calling with LLMs for application development
• Experience of building AI agentic workflows with understanding of MCP, A2A protocols
• Solid understanding of concepts in semantic search techniques such as RAG, vector embedding etc.
• Knowledge of prompt engineering, context engineering and LLM fine-tuning techniques
• Experience with FastAPI or similar backend frameworks for building RESTful APIs
• Experience with version control systems (e.g., Git)
• Familiarity with containerization technologies (e.g., Docker)
• Understanding secure coding practices and application observability
• Strong problem-solving skills and attention to detail
• Familiarity with databases (SQL and NoSQL)
• Experience with API development and integration

Bonus Skills

• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of MLOps practices
• Experience developing CI/CD pipelines for LLM applications