GenAI / Cloud / Terraform Engineer

GenAI / Cloud / Terraform Engineer

Position: GenAI / Cloud / Terraform Engineer
Experience Required: 8+ Years
Employment Type: Contract (C2C)

Open Positions: 5

Work Location: Remote (Pan India)

Work Hours: 11:00 AM – 9:00 PM

About the Role

We are looking for experienced GenAI Engineers who can contribute to the design, development, and deployment of enterprise-scale AI-powered solutions while working in cloud-native environments. The ideal candidate will have hands-on expertise in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), cloud platforms, and Infrastructure as Code practices.

Experience Requirements :

Total Experience: 8+ Years

Generative AI: 3+ Years

Cloud Platforms (Azure/AWS/GCP): 5+ Years

Terraform & Infrastructure as Code: 2+ Years

Mandatory Skills

• Hands-on experience with:
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Generative AI
• Agentic AI and Multi-Agent Systems
• Strong experience designing, developing, and deploying AI-powered applications and solutions.
• Good understanding of Cloud Architecture with experience in:
• Azure (Preferred)
• AWS or GCP
• Basic to intermediate knowledge of:
• Terraform
• Infrastructure as Code (IaC)
• Strong debugging, troubleshooting, and analytical problem-solving capabilities.
• Ability to investigate and resolve issues across cloud-native and AI-based applications.
• Knowledge of Specification-Driven Development (SDD) and experience building solutions from functional and technical specifications is highly desirable.

Key Responsibilities :

• AI Solution Development
• Design, develop, and deploy AI/ML solutions using enterprise-approved tools and technologies.
• Build reusable AI capabilities, including:
• Copilots
• AI Agents
• APIs
• Plugins
• Domain-specific automation services
• Develop AI-powered applications such as:
• Coding assistants
• Search assistants
• Recommendation engines
• Workflow automation solutions
• Generative AI & Agentic AI
• Develop and implement Generative AI solutions using:
• OpenAI Models
• Large Language Models (LLMs)
• RAG Architectures
• Agent-based Systems
• Build and deploy:
• AI-powered search solutions
• Chatbots
• Conversational APIs
• Design agent-based systems supporting:
• Tool invocation and function calling
• Multi-step reasoning and decision workflows
• Autonomous task execution
• Work with agent orchestration frameworks such as:
• LangGraph
• AutoGen
• CrewAI
• Cloud & Infrastructure
• Deploy, manage, and optimize AI workloads on cloud platforms, preferably Azure.
• Design scalable and secure cloud-native architectures.
• Utilize Terraform and Infrastructure as Code practices for provisioning and managing cloud resources.
• Support standardization and automation of infrastructure deployments.
• Vector Search & AI Optimization
• Implement vector database solutions and indexing strategies.
• Develop MCP Servers for integration with AI agents and Copilot environments.
• Improve AI solution performance through model adaptation and fine-tuning techniques, including:
• LoRA
• QLoRA

Required Qualifications :

• Proven experience designing and developing reusable AI skills, including copilots, agents, plugins, APIs, and reusable AI services.
• Strong expertise in:
• Generative AI
• OpenAI Technologies
• Large Language Models (LLMs)
• RAG Architectures
• Agentic AI Systems
• Experience working with vector databases and semantic search solutions.
• Experience developing and implementing MCP Servers for AI agent integrations.
• Strong programming skills in one or more of the following:
• Python
• .NET
• Node.js
• Hands-on experience with Azure (preferred) or AWS cloud platforms.
• Experience defining and implementing AI evaluation frameworks using:
• RAGAS
• DeepEval
• Experience with model fine-tuning and optimization techniques.

Preferred Qualifications

• Experience building enterprise AI platforms, AI skill catalogs, or reusable AI frameworks.
• Experience developing Terraform frameworks and Internal Developer Platforms (IDPs).
• Experience standardizing Infrastructure as Code templates across engineering teams.
• Strong understanding of secure coding and application security best practices.
• Experience with monitoring, logging, and observability tools such as Splunk.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Key Competencies

• Strong problem-solving and analytical skills
• Ability to work independently in distributed teams
• Excellent communication and stakeholder management skills
• Passion for innovation in AI and cloud technologies
• Strong ownership mindset and attention to quality
• Work Location: Remote, Pan India
• Work Schedule: 11:00 AM – 9:00 PM IST

Pay: From ₹100,000.00 per month

Work Location: Remote