AI/ML Engineer

Designation :

Experience : 5 To 10 Years

Location : Bangalore, KA

• 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:

• 4-5 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.

Nice-to-Have Skills:

• Exposure to

  MLOps/LLMOps

  workflows and model monitoring.
• Knowledge of enterprise security, compliance, and governance in AI systems.
• Exposure to best practices for code and model lifecycle management.