IFS
5001 - 10000 employees
Founded 1983
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
💰 Secondary Market on 2022-03
Enterprise • SaaS • Artificial Intelligence
IFS is an enterprise software company providing solutions for various industries, including aerospace and defense, construction and engineering, energy, utilities, and resources, manufacturing, services, and telecommunications. The company offers a wide range of software products, including enterprise asset management, field service management, enterprise resource planning, and solutions leveraging artificial intelligence such as IFS. ai. These solutions are designed to optimize asset lifecycle management, improve customer engagement, and enhance operational efficiencies. IFS Cloud provides a comprehensive platform for digital transformation, helping businesses to harness data and drive insights across their operations.
Forward Deployed Engineer
🕒 May 8
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IFS
5001 - 10000 employees
Founded 1983
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
💰 Secondary Market on 2022-03
Enterprise • SaaS • Artificial Intelligence
IFS is an enterprise software company providing solutions for various industries, including aerospace and defense, construction and engineering, energy, utilities, and resources, manufacturing, services, and telecommunications. The company offers a wide range of software products, including enterprise asset management, field service management, enterprise resource planning, and solutions leveraging artificial intelligence such as IFS. ai. These solutions are designed to optimize asset lifecycle management, improve customer engagement, and enhance operational efficiencies. IFS Cloud provides a comprehensive platform for digital transformation, helping businesses to harness data and drive insights across their operations.
📋 Description
• 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
🎯 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 • 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
🏖️ Benefits
• Flexible work arrangements • Professional development opportunities
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