Principal Cloud Engineer

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November 22

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IFS

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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.

5001 - 10000 employees

Founded 1983

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 Secondary Market on 2022-03

📋 Description

• Rapidly prototype AI agents and guided workflows that solve concrete customer problems; ship thin slices, instrument, and iterate with real usage. • Design and implement cloud-native backend services that orchestrate prompts, tools, retrieval, and automations; own the path from POC to production. • Build robust retrieval for LLMs (search/vector pipelines, context assembly, tool selection) in partnership with data engineering. • Establish evaluation loops: offline/online tests, golden sets, regression checks, and human-in-the-loop review to measurably improve quality and safety. • Contribute to developer experience: reusable agents/tools, SDKs, templates, and internal documentation that speed up future builds. • Collaborate with customers and internal stakeholders to frame problems, define success metrics, and translate insights into productizable solutions. • Lead design discussions and code reviews; mentor teammates and raise the quality bar while keeping momentum high.

🎯 Requirements

• 4–8+ years as a software/AI engineer, including shipping 0→1 products or features in startup-like environments. • Strong in Python (and comfortable with TypeScript); able to build production services and integrate with external systems/APIs. • Proven experience taking LLM/agent systems to production (tool use, function calling, planning/exec, retrieval-augmented generation). • Hands-on with evaluation (offline/online), prompt engineering, tracing, and observability for AI systems. • Familiarity with vector databases/search, embeddings, and context/retrieval patterns; pragmatism about when/what to index. • Solid backend fundamentals (services, queues, data models, CI/CD, cloud) and a bias to automate what you repeat. • Excellent communication and product sense—able to turn fuzzy business problems into clear technical plans and measurable outcomes. • Fast mover: comfort with ambiguity, crisp prioritization, and the judgment to ship small, safe increments quickly. • Nice-to-have: open-source contributions, hackathon wins, or a portfolio of shipped side projects; experience at both an early-stage startup and a larger-scale system.

🏖️ Benefits

• Flexible working hours • Innovative work environment • Commitment to inclusion and diversity