18 hours ago
Remote, Spain or Madrid, SpainStaff+
Responsibilities
- Design and architect AI-powered systems using LLMs, retrieval-augmented generation, agentic workflows, orchestration patterns, enterprise data, and business processes.
- Build production-ready software platforms and cloud-native services that orchestrate models, tools, retrieval systems, and enterprise workflows.
- Develop rapid prototypes and proof-of-concepts to validate technologies, measure outcomes, and identify business opportunities.
- Bring incubated AI solutions through scoping, design, development, testing, deployment, monitoring, and continuous improvement.
- Establish evaluation, benchmarking, testing, observability, quality, governance, and monitoring practices for AI systems.
- Lead technical design discussions and architecture reviews while driving engineering best practices across teams.
- Mentor engineers and develop reusable AI capabilities, frameworks, and developer tooling.
- Collaborate with product teams, architects, customers, partners, stakeholders, and domain experts to deliver measurable business impact.
- Influence IFS’s AI strategy and long-term technology direction through hands-on 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; a master’s degree is advantageous.
- 8+ years of professional experience in AI, machine learning, and/or software engineering, with a proven record of successfully delivered projects.
- Strong programming skills in one or more mainstream languages such as Python, Golang, C#, or TypeScript.
- Experience with context engineering, retrieval architecture, embeddings, vector databases, search technologies, and retrieval optimization.
- Strong backend engineering fundamentals, including APIs, distributed services, cloud-native architectures, integration, automation, and security.
- Background in DevOps and MLOps/LLMOps, infrastructure as code, deployment pipelines, model operations, and observability.
- Experience designing AI-driven architectures using LLMs, RAG, agentic workflows, orchestration patterns, and enterprise data sources.
- Experience working with customers, stakeholders, and domain experts to define and deliver solutions in ambiguous, fast-moving environments.
- Experience leading technical discussions, influencing architecture and technology strategy, mentoring engineers, and driving alignment across teams.
- Experience with two or more desirable technologies across AI serving, foundation models, agentic AI, evaluation and observability, cloud infrastructure, model development, and accelerator technologies.
- Experience with enterprise AI platforms or developer tooling, customer-facing demonstrations or proof-of-concepts, and enterprise software domains is desirable.
- Contributions to open-source AI projects, technical communities, conferences, or publications and experience with Microsoft Azure, AWS, or Google Cloud AI services are desirable.
Benefits
- Flexible hybrid work opportunities that support diverse work preferences and inclusive workplace experiences.
- Opportunity to work in a global, diverse environment with colleagues, customers, and partners across all continents.
- Opportunity to contribute to AI strategy, sustainability initiatives, customer innovation, and worldwide business impact.
Tech Stack
Categories
About IFS
IFS builds IFS Cloud, an enterprise suite covering ERP, EAM, FSM, SCM, and project/service management for manufacturers and asset‑intensive organizations. Its business model centers on software subscriptions and services for cloud and hybrid deployments, plus industry-specific modules and consulting. Founded in 1983 and headquartered in Linköping, Sweden, the company is privately held under EQT ownership and operates globally across industrial and service-focused markets.