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.
Valuable 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.
Robust 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 multi-agent systems and enterprise AI solutions.

Job Types: Full time, Permanent

Pay: ₹500,000.00 - ₹800,000.00 per year

Work Location: In person

📌 Full Stack Ai Engineer Bengaluru (India)
🏢 Daffod Energy Solutions
📍 India