Forward Deployed AI Engineer

IFS

$150K — $170K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-5 years in software/systems engineering or ML deployment
  • Proficient in Python and AI/ML frameworks (OpenAI, Hugging Face, etc.)
  • Skilled in building LLM applications and conversational AI workflows
  • Experience with enterprise system integrations via APIs
  • Ability to quickly deliver technical solutions to business challenges
  • Strong interpersonal skills for customer collaboration
  • Proactive approach to learning and adapting in fast-paced environments

Responsibilities

  • Partner with enterprise customers to implement AI solutions
  • Integrate IFS Loops platform with customer systems
  • Tune AI agent behavior for measurable performance improvements
  • Troubleshoot deployments and ensure user adoption
  • Collaborate with cross-functional teams to align with customer needs
  • Document technical processes for handover to support teams

Benefits

  • Flexible paid time off for sick and holiday
  • Medical, dental, and vision insurance
  • 401K plan with company contributions
  • Flexible spending accounts
  • Life insurance and disability benefits
  • Tuition assistance
  • Opportunities for community involvement and volunteering events
Full Job 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

What We're Offering
  • Salary Range: $150,000 - $170,000 annually + bonus
  • Flexible paid time off, including sick and holiday
  • Medical, dental, & vision insurance
  • 401K with Company contribution
  • Flexible spending accounts
  • Life insurance and disability benefits
  • Tuition assistance
  • Community involvement and volunteering events


Interested candidates should apply at: www.ifs.com/about/careers-at-ifs

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