Artificial Intelligence Engineer

Closeloop Technologies

India

On-site

INR 1,500,000 - 2,000,000

Full time

14 days+

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Job summary

Closeloop Technologies in India is seeking an experienced Agentic AI Engineer – Claude Expert to design, deploy, and support effective AI systems. The role involves creating workflows and integrating tools for enterprise use in a fast-evolving AI landscape.

The ideal candidate will have 5-8 years of experience in software engineering or AI development and strong expertise in building production-ready AI systems. Communication skills and problem-solving abilities are essential for this hands-on position.

Qualifications

  • 5-8 years of experience in software engineering or AI system development.
  • Proven experience building and deploying AI systems in production environments.
  • Hands-on experience with Claude tools or similar AI platforms.

Responsibilities

  • Design, build, and maintain AI-powered skills for enterprise use.
  • Troubleshoot workflow failures and system issues to ensure reliability.
  • Integrate tools across multiple ecosystems, including Anthropic and Microsoft.

Skills

Software engineering
AI system development
Workflow automation
Prompt engineering
APIs
Scripting
Troubleshooting
Excellent communication

Tools

Claude tools
n8n

Job description

Job Title: Agentic AI Engineer – Claude Expert (Process Automation)

Experience Level: 5+ Years

About the Role

We are looking for a hands-on AI Transformation Engineer to design, deploy, and support systems that make AI tools practical, scalable, and effective across the organization. This role focuses on turning AI from a conceptual capability into reliable, production-ready infrastructure that teams can use in their day-to-day work.

You will work on building agentic workflows, integrating AI tools, and enabling teams to leverage AI through well-structured prompts, automation, and operational configurations. This is a highly impactful role requiring strong problem‑solving skills, technical depth, and the ability to operate in a fast‑evolving AI landscape.

Key Responsibilities
  • Design, build, and maintain AI-powered skills, plugins, and agentic workflows for enterprise use
  • Troubleshoot workflow failures, system issues, and user challenges to ensure reliability and performance
  • Manage AI system configurations including model access, rate limits, usage policies, and team settings
  • Support prompt engineering initiatives by creating robust system prompts and instructions for real-world usage
  • Integrate and connect tools across multiple ecosystems (including Anthropic and Microsoft environments)
  • Collaborate with cross-functional teams to identify use cases and implement practical AI solutions
  • Advise stakeholders on AI tool selection and best‑fit solutions for specific business problems
  • Translate emerging AI capabilities into scalable and usable enterprise solutions
  • Operate in a fast‑paced environment with evolving tools, priorities, and use cases
Required Skills & Tech Stack
  • 5–8 years of experience in software engineering or AI system development
  • Proven experience building and deploying AI systems in production environments
  • Hands‑on experience with Claude tools (Chat, Code, Cowork) or similar AI platforms
  • Strong experience with workflow automation tools such as n8n or equivalent platforms
  • Strong prompt engineering expertise for consistent and scalable AI outputs
  • Solid understanding of APIs, scripting, debugging, and system integrations
  • Experience with agentic architectures or managed AI systems
  • Strong problem‑solving and troubleshooting skills in distributed systems
  • Excellent communication skills to work with both technical and non‑technical stakeholders
  • Ability to work in ambiguous, fast‑changing environments and deliver practical solutions
Nice to Have
  • Experience with M365 Copilot administration or deployment
  • Exposure to cybersecurity or GRC environments
  • Understanding of enterprise AI security and compliance considerations
  • Experience evaluating AI deployment strategies in regulated environments
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