Role: GenAI Engineer

Experience: 8 Years

Employment Type: Contract (C2C)

Work Location: Remote – Pan India

Work Hours: 11:00 AM – 9:00 PM IST

Job Summary

We are looking for experienced GenAI / Cloud / Terraform Engineers to design, develop, and deploy enterprise-scale AI-powered solutions in cloud-native environments.

The ideal candidate will have strong hands-on experience in Generative AI, Agentic AI, RAG, MCP, LLMs, cloud platforms, and Infrastructure as Code (IaC), along with strong programming and troubleshooting skills.

Required Skills

- 8 years of overall IT/software engineering experience.
- 3 years of hands-on experience in Generative AI / AI Engineering.
- 5 years of experience with Azure, AWS, or GCP.
- 2 years of experience with Terraform and Infrastructure as Code (IaC).
- Solid hands-on experience with:
- Generative AI
- Agentic AI & Multi-Agent Systems
- Retrieval-Augmented Generation (RAG)
- Model Context Protocol (MCP)
- Large Language Models (LLMs)
- OpenAI technologies
- Strong programming experience in Python, .NET, or Node.js.
- Experience with vector databases, semantic search, and AI-powered applications.
- Experience with cloud-native architecture and enterprise AI solutions.
- Strong debugging, troubleshooting, and analytical problem-solving skills.

Key ResponsibilitiesGenerative AI & Agentic AI
- Design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions.
- Build reusable AI capabilities including:
- AI Copilots
- AI Agents
- APIs and Plugins
- AI Automation Services
- Develop AI-powered applications such as chatbots, search assistants, coding assistants, recommendation engines, and workflow automation solutions.
- Build agent-based systems supporting tool/function calling, multi-step workflows, and autonomous task execution.
- Work with frameworks such as LangGraph, AutoGen, and CrewAI.

RAG, MCP & AI Engineering
- Design and implement RAG architectures for enterprise AI applications.




- Develop MCP Servers for integration with AI agents and Copilot environments.
- Implement vector search, semantic search, indexing, and retrieval strategies.
- Develop AI evaluation frameworks using RAGAS and DeepEval.
- Optimize AI solutions using model adaptation and fine-tuning techniques such as LoRA and QLoRA.

Cloud & Infrastructure
- Design, deploy, and manage AI workloads on Azure, AWS, or GCP, with Azure preferred.
- Develop scalable, secure, and reliable cloud-native architectures.
- Use Terraform to provision and manage cloud infrastructure.
- Develop reusable IaC templates and frameworks to standardize infrastructure deployments.
- Support automation and infrastructure optimization across engineering teams.

Monitoring & Security
- Implement best practices for application and infrastructure security.
- Support monitoring, logging, and observability of AI and cloud-native applications.
- Experience with tools such as Splunk is preferred.
- Investigate and resolve issues across AI applications, cloud infrastructure, and distributed systems.

Preferred Qualifications
- Experience building enterprise AI platforms, reusable AI frameworks, or AI skill catalogs.
- Experience developing Terraform frameworks or Internal Developer Platforms (IDPs).
- Knowledge of Specification-Driven Development (SDD).
- Experience standardizing IaC practices across engineering teams.
- Experience with AI model evaluation, fine-tuning, and optimization.
- Robust understanding of secure coding and application security.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Key Competencies
- Strong analytical and problem-solving skills.
- Excellent debugging and troubleshooting abilities.
- Strong ownership and accountability.
- Ability to work independently in distributed/remote teams.
- Excellent communication and stakeholder management skills.
- Passion for Generative AI, Agentic AI, Cloud, and emerging technologies.

Pay: ₹100,000.00 - ₹120,000.00 per month

Experience

- AI: 6 years (Required)

Work Location: Remote

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