We Love AI JobsForward Deployed AI Engineer - IFS Loops
UltimoThis engineer works directly with enterprise customers to design, integrate, and deploy production-ready AI agents in their workflows. The role spans customer discovery, Python-based implementation, agent tuning, troubleshooting, and collaboration with product and engineering teams.
Skills & Expertise
Key Responsibilities
Scope and implement AI agent use cases across enterprise customer workflows.
Integrate IFS Loops with customer systems and tune agent behavior for measurable outcomes.
Troubleshoot deployments, improve performance, and share customer insights with product teams.
Full Description
Job Description
About the Role
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
Qualifications
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
Additional Information
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.