Forward Deployed AI Engineer

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

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 (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