Forward Deployed Engineer

IFS

$90K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-5 years of experience in software engineering, solutions engineering, or machine learning deployment.
  • Proficiency in Python and experience with AI/ML frameworks like OpenAI and Hugging Face.
  • Familiarity with LLM applications and conversational AI workflows.
  • Experience with API integrations in enterprise systems (e.g., Salesforce, SAP).
  • Ability to quickly convert business challenges into technical solutions.
  • Excellent interpersonal skills for both technical discussions and customer interactions.
  • Proactive mindset with a commitment to continuous learning.

Responsibilities

  • Collaborate with acquired companies to identify and implement AI agent use cases.
  • Optimize agent behavior to achieve measurable outcomes like increased efficiency.
  • Troubleshoot deployments and swiftly address performance issues.
  • Document technical decisions and ensure smooth handoff of deployments.
  • Lead the end-to-end development process from discovery to launch.

Benefits

  • Flexible and hybrid work opportunities.
  • Commitment to an inclusive workplace culture.
  • Emphasis on community-building and innovation.
Full Job Description
Job Description

About the Role

As a Forward Deployed Engineer, you'll work directly with IFS Acquired organizations to deliver custom, production-ready AI solutions that solve real-world problems. You'll lead the design and deployment of intelligent agents across business 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 acquired companies to scope and implement AI Agent use cases across complex workflows
  • 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
  • Document technical decisions and hand off stable deployments


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.

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