IFS is a billion-dollar revenue company with a commitment to innovative AI technology. As a Forward Deployed AI Engineer, you will work directly with enterprise customers to deliver custom AI solutions, leading the design and deployment of intelligent agents across customer workflows.
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
- 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