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

📌 Expert AI Engineer – GenAI Platform Engineering | Remote | (India)
🏢 Haparz
📍 India