Job Description

We're seeking a talented AI Applications Developer to join our innovative team.

The ideal candidate will have 4+ years of experience in software development, with a strong focus on building production-ready applications leveraging Generative AI advancements.

Responsibilities:

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