AI Agent Developer - LLM Integration

Description :

Location : Bangalore (Working from Office)

Full time

AI Agent Development & LLM Integration :

- Build AI agents using frameworks like LangGraph, Autogen, Crew, or PydanticAI.

- Design and optimize prompt engineering workflows for LLMs (e.g., GPT, Claude, LLaMA).

- Develop modular, reusable components for agent orchestration and task automation.

Model Deployment & Infrastructure :

- Deploy models using Databricks and Azure ML, integrating with enterprise-grade systems.

- Implement APIs, WebSockets, and event-driven architectures for real-time AI services.

- Collaborate with platform teams to ensure scalable and secure deployments.

Development & Automation :

- Work with CI/CD pipelines using Jenkins to automate testing and deployment.

- Use GitHub Copilot, Windsurf, Codeium, or similar tools to accelerate development.

- Maintain high code quality and documentation standards using Git, Jira, and Confluence.

Must-Have Skills :

- 3 to 5 years of experience working Machine Learning / Artificial Intelligent or related fields.

- 1+ years of experience building Generative AI Applications for enterprise, deep understanding of workflows like RAG.

- Strong proficiency in Python and modern development practices.

- Hands-on experience with LLMs and prompt engineering.

- Experience building AI agents using at least one of Lang Graph, Crew, or PydanticAI.

- Familiarity with Databricks and cloud-native deployment strategies.

- Understanding of REST APIs, WebSockets, and event-driven systems.

- Familiarity with SDLC best practices and agile methodologies.

- Proficiency with using CI/CD tools (Jenkins) and version control (Git).

- Comfortable using AI-augmented development tools for rapid prototyping.