Forward Deployed Engineer

🔥 0 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ 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.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Embed directly with product teams to understand business flows and identify where AI can help • Lead technical discovery and distinguish actual business-process bottlenecks from symptoms • Match existing AI services to product problems and help design and build AI-first applications • Gather and document requirements when no existing AI service fits • Partner with AI-services engineering teams to scope, design, and build new services • Work hands-on with data pipelines, model training and serving, MLOps tooling, and product-workflow integrations • Ship initial versions quickly and harden them with monitoring, feedback loops, and production-grade reliability • Translate product-team pain points and business requirements into AI-services roadmap input • Work with product owners, business stakeholders, and engineering leads while communicating technical trade-offs • Connect IFS R&D’s AI capabilities with product teams and use field insights to shape future development

🎯 Requirements

• 5+ years of software engineering experience • Strong hands-on capability building and deploying production systems • Strong Python skills and willingness to work across other languages and existing customer codebases • Experience building and operating cloud-native services • Azure experience, particularly AKS, Blob Storage, Key Vault, and Azure-hosted AI/model services • Experience integrating LLMs and AI services into production applications, including model APIs, authentication, gateways, reliability, latency, cost, and observability • Experience building agentic applications using tools, APIs, and orchestration frameworks • Hands-on MCP experience strongly preferred • Hands-on experience designing production RAG and retrieval systems, including embeddings, vector databases, indexing, retrieval quality, and evaluation • Strong experience with REST APIs, authentication/authorization, external systems, data contracts, and debugging complex integrations • Experience with Docker, Kubernetes, Helm, GitOps/ArgoCD, and Terraform or equivalent infrastructure-as-code tooling • Comfortable working with relational, document, vector, and object stores • Understanding of event-driven and distributed systems architecture • Understanding of AI evaluation, observability, monitoring, failure modes, and quality/latency/reliability/cost trade-offs • Experience building and owning production ML/data systems, not just notebooks or prototypes • Experience working in or alongside platform or infrastructure teams • Ability to work directly with customers and stakeholders, turn ambiguous business problems into technical solutions, rapidly prototype, and productionize solutions • Strong communication with non-technical stakeholders • Demonstrable hands-on experience designing, building, and shipping production AI applications

🏖️ Benefits

• Flexible and hybrid work opportunities • Inclusive workplace experiences • Opportunity to work in a global, diverse environment • Commitment to sustainability • Opportunity to work on AI-driven solutions with worldwide impact

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