Overview

We are seeking an experienced Senior MLOps & Agentic AI Engineer to design, build, deploy, and secure production machine learning and generative AI systems.

Responsibilities

• GenAI & Database Integration:
• Security & Access Control:
• Guardrails & Governance:
• Model Deployment & Infrastructure:
• Pipelines & CI/CD:
• Monitoring & Observability:
• Client Communication & Governance:

Qualifications

• Languages & Core Tech:
• GenAI & Tool-Calling:
• Database & Data Security:
• Cloud Infrastructure (AWS):
• Containerization & CI/CD:
• Observability:
• Professional Standards:
• 4+ years in MLOps, ML Engineering, or Backend/DevOps with hands-on experience deploying production ML models and GenAI/LLM applications.
• Strong proficiency in Python, SQL, and REST/gRPC service architectures.
• Solid understanding of database architecture (PostgreSQL, MySQL, Redshift, etc.), connection pooling, RBAC, query parsing/sanitization, and secure integration patterns.
• Expertise with Docker, Kubernetes/EKS, and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins).
• Proven experience setting up logging, metrics, and alerting pipelines for production applications.
• Exposure to vector databases (PGVector, Pinecone, Qdrant, Chroma).
• Familiarity with enterprise compliance standards (SOC2, HIPAA, GDPR).
• Graduation from a top-tier engineering or technology institution such as IITs, IISc, BITS Pilani, or equivalent is a plus.