Forward Deployed AI Engineer - IFS Loops

Copperleaf Technologies; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Copperleaf Technologies seeks a Forward Deployed AI Engineer to work directly with enterprise customers, delivering production-ready AI solutions. You will lead design and deployment of intelligent agents across customer workflows, owning discovery, prototyping, configuration, testing, and launch.

This fast-paced role blends engineering with customer collaboration, serving as a bridge between product and client needs to ensure rapid value delivery and long-term success.

Qualifications

• 2–5 years of experience in a software engineering, solutions engineering, or ML deployment role.
• Proficiency in Python and working knowledge of AI/ML frameworks.
• Familiarity with building LLM applications, RAG systems, or conversational AI workflows.
• Experience integrating with enterprise systems via APIs or middleware.
• Ability to translate business problems into technical solutions—and deliver them fast.
• Strong interpersonal skills; comfortable on a whiteboard with a customer as in code.
• Bias toward action, ownership, and continuous learning in dynamic environments.

Responsibilities

• Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows
• Integrate IFS Loops platform with customer systems
• Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)
• Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption
• Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap
• Document technical decisions and hand off stable deployments to customer engineering or support teams

Skills

Python

AI/ML frameworks

LangChain

OpenAI

Hugging Face

Pinecone

Weaviate

LLM applications

RAG systems

APIs integration

Tools

Salesforce

ServiceNow

SAP

Oracle

Job description

Job Summary

As a Forward Deployed AI Engineer, you ll work directly with enterprise customers to deliver custom, production-ready AI solutions that solve real-world problems. You ll lead the design and deployment of intelligent agents across customer workflows-owning everything from discovery and prototyping to configuration, testing, and launch.

This is a fast-paced, hands-on role that combines engineering, customer collaboration, and applied AI. You will serve as a critical link between our product and the customer s needs-ensuring rapid value delivery and laying the foundation for long-term success.

What You ll Do

• Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows
• Integrate IFS Loops platform with customer systems
• Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)
• Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption
• Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap
• Document technical decisions and hand off stable deployments to customer engineering or support teams

What We re Looking For

• 2-5 years of experience in a software engineering, solutions engineering, or ML deployment role
• Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)
• Familiarity with building LLM applications, RAG systems, or conversational AI workflows
• Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)
• Ability to translate business problems into technical solutions-and deliver them fast
• Strong interpersonal skills; you re just as comfortable on a whiteboard with a customer as you are in code
• Bias toward action, ownership, and continuous learning in dynamic environments

Nice to Have

• Background in SaaS, customer experience, support operations, or manufacturing systems
• Experience deploying AI in mission-critical environments
• Prior work with enterprise AI platforms or multi-agent orchestration