Full Stack AI Engineer

Key Responsibilities:

• Build, deploy, and maintain AI agents and agentic workflows.
• Develop end-to-end applications including frontend, backend, and AI components.
• Design and implement RAG systems, knowledge graphs, and LLM-powered solutions.
• Fine-tune open-source and proprietary language models when required.
• Implement agent observability, monitoring, and evaluation frameworks.
• Write automated tests and ensure code quality through proper testing practices.
• Manage deployments, CI/CD pipelines, and production environments.
• Collaborate using Git-based development workflows.
• Required Skills:
• Strong proficiency in Python or TypeScript.
• Hands-on experience with coding agents such as Claude Code, Codex, Cursor, or similar AI-assisted development tools.
• Experience with LangChain, LangGraph, Google ADK, or similar agent frameworks.
• Good understanding of LLMs, RAG, fine-tuning, embeddings, vector databases, and knowledge graphs.
• Experience building and consuming APIs.
• Frontend and backend development experience.
• Knowledge of Docker and deployment workflows.
• Experience with MongoDB, MySQL, and Microsoft SQL Server.
• Familiarity with test frameworks and writing test cases independently.
• Strong understanding of Git and software development best practices.

Preferred Qualifications:

• Experience deploying AI applications to cloud environments.
• Experience with agent evaluation, observability, and production monitoring.
• Experience building…

Skills

• LLMs
• Git
• CI/CD
• Python
• TypeScript