Expert AI Engineer GenAI Platform Engineering | Remote | (India)

Hiring: AI Engineer GenAI Platform Engineering

Experience: 10+ Years

Primary Skill: Generative AI / GenAI Platforms

Secondary Skills: Python | Machine Learning | Data Engineering

Tertiary Skill: Hadoop

Role: Senior AI / Platform Engineering

Role Overview

We are looking for a highly experienced AI Engineer GenAI Platform Engineering to design and build enterprise-scale Generative AI, AI/ML, Data Engineering, and Data Platform capabilities .

The role will focus on developing scalable, secure, and reusable AI platform services supporting LLM applications, RAG, agentic AI, data science, event-driven architectures, and AI/ML lifecycle automation .

Key Responsibilities

• Lead architecture and engineering for enterprise GenAI, AI/ML, Data Engineering, Metadata, Data Quality, and Event Streaming platforms .
• Design reusable, self-service platform services covering data ingestion, experimentation, model development, deployment, monitoring, and governance .
• Build LLM-powered applications, RAG solutions, agentic AI workflows, and MCP-enabled services .
• Design event-driven and distributed architectures using technologies such as Kafka, Spark, and Flink .
• Drive platform modernization using Kubernetes, Docker/containers, serverless, and cloud-native technologies .
• Develop enterprise-grade APIs, microservices, and distributed systems for high-volume AI and data workloads.
• Implement CI/CD, Infrastructure as Code, automation, and DevSecOps practices.
• Ensure platforms meet enterprise standards for security, governance, scalability, reliability, compliance, and observability .
• Conduct architecture and code reviews and provide technical mentorship to engineering teams.
• Collaborate with architects, product owners, data scientists, engineers, and business stakeholders to deliver scalable AI solutions.

Must-Have Skills

• 10+ years of experience in AI, Data Science, Data Engineering, Analytics, or Platform Engineering.
• Strong hands-on experience designing enterprise GenAI platforms .
• Experience with LLMs, RAG, Agentic AI, prompt orchestration, vector databases, and AI governance .
• Solid Python and AI/ML development experience.
• Strong understanding of Data Engineering and distributed systems .
• Experience with Kafka, Spark, Flink , or equivalent technologies.
• Hands-on experience with Kubernetes, Docker/containers, and cloud-native platforms .
• Experience building APIs, microservices, and scalable distributed applications .
• Experience with CI/CD, DevSecOps, Infrastructure Automation, and observability .
• Strong understanding of data governance, metadata, data lineage, data quality, security, and compliance .

Good to Have

• MCP Servers
• AI Gateways & Model Management
• Prompt Management
• Vector Databases
• Knowledge Graphs
• Enterprise AI Copilots
• AI Workflow Orchestration
• Responsible AI / AI Governance
• Hadoop
• Multi-cloud / Hybrid Cloud environments .