Role Description
Job Summary
We are looking for an AI Engineer with deep experience in building agent-based AI applications. This role is ideal for someone passionate about pushing the boundaries of applied AI, particularly in Retrieval-Augmented Generation (RAG), and developing production-grade intelligent systems that are secure, governed, and enterprise-ready.
Key Responsibilities
AI / LLM Engineering
• Design, develop, and deploy agent-based AI systems using LLMs.
• Build and scale Retrieval-Augmented Generation (RAG) pipelines for real-time and offline inference.
• Develop and optimize training workflows for fine-tuning and adapting models to domain-specific tasks.
• Collaborate with cross-functional teams to integrate knowledge bases into agent frameworks.
• Drive best practices in AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP).
• Monitor, evaluate, and improve model performance post-deployment on Google Cloud.
DevOps / MLOps
• Implement version control strategies using Git, manage code repositories,
and ensure best practices in code management.
• Develop and manage CI/CD pipelines using GitHub Actions, Jenkins, or other relevant tools to streamline deployment and updates.
Security & Identity
• Secure AI application front-ends and user interfaces by integrating them with enterprise Single Sign-On (SSO) and Multi-Factor Authentication (MFA) using:
• OIDC
• OAuth 2.0
• SAML
• Integrate AI agent frameworks and service accounts with enterprise IGA platforms to automate:
• Access provisioning
• Entitlements
• Compliance auditing
Collaboration
• Communicate technical findings and insights to non-technical stakeholders.
• Participate in technical discussions and contribute to strategic planning.
Qualifications Education
• Master’s / Bachelor’s degree in:
• Computer Science
• Artificial Intelligence
• Machine Learning
• Or a related field
Experience
• 10+ years of overall IT experience.
• 5+ years of AI/ML E
📌 Senior AI Engineer – Agentic AI (Pune)
🏢 UST
📍 Pune