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IFS
Posted 75 days agoVerified live 1d ago

Forward Deployed Engineer

Brief overview

Remote
2+ yrsMinimum
PythonAI/ML frameworksOpenAIHugging FaceLangChainPineconeWeaviateLLM applicationsRAG systemsConversational AI workflowsAPI integrationSalesforceServiceNowSAPOracle

Job description

Summary

IFS is a billion-dollar revenue company with over 7000 employees, specializing in AI-driven enterprise software solutions. They are seeking a Forward Deployed Engineer to work directly with acquired organizations to deliver custom AI solutions, focusing on design, deployment, and customer collaboration.

Responsibilities

  • 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

Skills

  • 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

Qualifications

Must Haves

  • 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 Haves

  • 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

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