Forward Deployed AI Engineer: IFS Loops

Overview

In this role you will deliver production-ready AI solutions for enterprise customers, leading design and deployment of intelligent agents across complex workflows. You will act as the bridge between product and customer needs to ensure rapid value and long-term success. You’ll collaborate with multiple teams to tailor AI deployments, troubleshoot, and hand off stable solutions. This is a fast-paced, hands-on position that aims to scale AI-driven outcomes across customer environments. Join IFS to help customers solve real problems with cutting-edge AI in a global, diverse setting.

Pay / Benefits

• Flexible paid time off
• Medical, dental, and vision insurance
• 401K with company contribution
• Tuition assistance
• Bonus
• Flexible spending accounts

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, increased efficiency, fewer errors)
• Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption
• Collaborate 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

Key requirements

• 2–5 years of experience in software engineering, solutions engineering, or ML deployment
• Proficiency in Python and working knowledge of AI/ML frameworks (OpenAI, Hugging Face, LangChain, Pinecone, Weaviate)
• Familiarity with building LLM applications, RAG systems, or conversational AI workflows
• Experience integrating with enterprise systems via APIs or middleware (Salesforce, ServiceNow, SAP, Oracle)
• Ability to translate business problems into technical solutions and deliver them fast
• Strong interpersonal skills with comfort in both customer interactions and coding
• Bias toward action, ownership, and continuous learning in dynamic environments

• Strong interpersonal skills
• Customer-facing communication
• Collaborative teamwork
• Python programming
• AI/ML frameworks (OpenAI, Hugging Face, LangChain, Pinecone, Weaviate)
• LLM applications, RAG, conversational AI

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