Lead AI Engineer

🔥 1 hour ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 40 days.
• No salary listed.

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IFS

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🏗️ Construction

🏭 Manufacturing

📦 Logistics

💰 Secondary Market on 2022-03

Construction • Manufacturing • Logistics

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

• Design and architect AI-powered systems using LLMs, RAG, agentic workflows, and orchestration patterns integrated with enterprise data and business processes • Develop secure, maintainable, production-ready software platforms and cloud-native services • Orchestrate models, tools, retrieval systems, and enterprise workflows • Build rapid prototypes and proof-of-concepts to validate technologies and identify business opportunities • Establish evaluation, monitoring, testing, benchmarking, observability, and continuous-improvement practices • Lead technical design discussions and architecture reviews • Drive engineering best practices across teams • Mentor engineers and develop reusable AI capabilities and frameworks • Collaborate with product teams, architects, domain experts, customers, and partners • Influence IFS’s AI strategy and long-term technology direction through delivery, experimentation, customer engagement, industry events, and partner collaboration

🎯 Requirements

• Bachelor’s degree in computer science, Software Engineering, AI, Data Science, or a related field • 8+ years of professional experience in AI, Machine Learning, and/or Software Engineering • Proven track record of successfully delivered projects • Demonstrable, hands-on experience designing, building and shipping production AI applications • Experience bringing incubated AI solutions to production, including scoping, design, development, testing, deployment, and vigilant monitoring • Strong programming skills in one or more mainstream programming languages such as Python, Golang, C# or TypeScript • Experience with context engineering, including retrieval architecture, embeddings, vector databases, search technologies, and retrieval optimization techniques • Strong backend engineering fundamentals, including APIs, distributed services, cloud-native architectures, CI/CD, integration, automation, and security • Solid background in DevOps and MLOps/LLMOps practices • Familiarity with infrastructure-as-code tools such as Terraform and package managers such as Helm Charts • Ability to design solutions integrating enterprise applications, business processes, workflows, and data platforms • Experience designing and implementing AI-driven architectures using LLMs, RAG, agentic workflows, orchestration patterns, and enterprise data sources • Strong understanding of the AI system lifecycle, including evaluation, deployment, monitoring, governance, and continuous improvement • Experience working closely with customers, stakeholders, and domain experts • Demonstrated ability to rapidly prototype, experiment, measure outcomes, and iterate quickly • Strong communication skills, with ability to explain complex technical concepts to technical and non-technical audiences • Ability to operate in ambiguous, fast-moving environments and translate business problems into technical strategies and measurable outcomes • Experience leading technical discussions, influencing architectural direction, mentoring engineers, and driving alignment across teams • Experience with two or more of the listed AI, cloud, infrastructure, model development, or enterprise software technologies is highly desirable • Master’s degree is advantageous • Experience with MLOps lifecycles, deployment pipelines, model operations, and observability for AI systems is advantageous

🏖️ Benefits

• Flexible and hybrid work opportunities • Inclusive workplace experiences • Opportunity to work in a global, diverse environment • Commitment to sustainability • Opportunity to contribute to worldwide-impact AI solutions • Mentoring and collaboration opportunities • Opportunity to participate in industry events and partner collaboration

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