Forward Deployed AI Engineer

Forward Deployed AI Engineer focuses on partner with enterprise customers to scope and implement ai agent use cases across complex workflows.

What the role involves

• 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 (, 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 and requirements

• 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 ( 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 ( Salesforce, ServiceNow, SAP, Oracle).

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving

Additional role context

• 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.
• Lead the design and deployment of intelligent agents across customer workflows—owning everything from discovery and prototyping to configuration, testing, and launch.
• 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.