AI/ML Engineer - Generative AI Apps

Role : AI/ML EngineerLocation : Bangalore, KA (Working from Office / Hybrid)

Job Description :

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 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.

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.

Soft Skills & Mindset :

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration abilities.