AI/ML Engineer - Generative AI & Agent Development

Description :

AI/ML Engineer - Generative AI & Agent Development (Job ID : 356)

Location : Bangalore (Onsite - Work from Office)

Employment Type : Full-Time

Role Overview :

We are seeking a highly skilled AI/ML Engineer with strong expertise in Generative AI and AI Agent Development. The ideal candidate will have hands-on experience in building scalable AI solutions, integrating Large Language Models (LLMs), and deploying enterprise-grade machine learning systems.

This role offers an opportunity to work on cutting-edge AI technologies, including agent orchestration, real-time AI services, and cloud-based model deployment.

Key Responsibilities :

AI Agent Development & LLM Integration :

- Design and build AI agents using frameworks such as LangGraph, AutoGen, CrewAI, or PydanticAI

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

- Create modular, reusable components for agent orchestration and task automation

- Implement advanced Generative AI workflows, including RAG (Retrieval-Augmented Generation)

Model Deployment & Infrastructure :

- Deploy and manage models using Databricks and Azure ML

- Build and integrate REST APIs, WebSockets, and event-driven architectures for real-time AI applications

- Collaborate with cross-functional teams to ensure scalable, secure, and high-performance deployments

Development & Automation :

- Implement and manage CI/CD pipelines using Jenkins

- Leverage AI-assisted coding tools such as GitHub Copilot, Codeium, or Windsurf for accelerated development

- Maintain high standards of code quality, documentation, and version control using Git, Jira, and Confluence

Required Skills & Qualifications :

- 3-5 years of experience in Machine Learning / Artificial Intelligence

- Minimum 1+ year of hands-on experience in building Generative AI applications for enterprise use cases

- Strong understanding of RAG pipelines and LLM-based architectures

- Proficiency in Python and modern software development practices

- Hands-on experience with LLMs and prompt engineering

- Experience building AI agents using LangGraph, CrewAI, or PydanticAI

- Familiarity with Databricks and cloud-based deployment strategies

- Strong understanding of REST APIs, WebSockets, and event-driven systems

- Experience with CI/CD tools (Jenkins) and version control systems (Git)

- Understanding of SDLC best practices and Agile methodologies

- Comfortable working with AI-augmented development tools

Preferred Qualifications :

- Experience with enterprise-scale AI deployments

- Exposure to real-time AI systems and microservices architecture

- Strong problem-solving skills and ability to work in a fast-paced environment

Why Join Us :

- Work on cutting-edge Generative AI and Agent-based systems

- Opportunity to build enterprise-grade AI solutions at scale

- Collaborative and innovation-driven work environment