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Open nowPosted today

Forward Deployed Engineer (Applied AI / LLM Agents) – Remote, Europe

Global Human Capital Group55 open roles

Pay
€35,000 – €55,000 a year
Where
Remote
Work mode
Remote
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Your applicationOpen nowForward Deployed Engineer (Applied AI / LLM Agents) – Remote, EuropeGlobal Human Capital Group · Remote

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Global Human Capital Group postings stay open a median of 12 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted today

Global Human Capital Group median: 12 days open

The posting

About the company Our client is a Spain-based technology company that builds AI-powered products and deploys them for clients in Europe and the United States. It is a small, senior team at the forefront of production-grade LLM and AI agent solutions. About the role As a Forward Deployed Engineer, you will take our client's AI solutions into real companies and make them work in production. You will embed with each customer, understand how their business runs, who is involved and what access is needed, and then design, build and deploy the right AI agents and workflows on top of their existing systems. Our client implements its solutions mainly in small and mid-sized companies, typically with 50 to 200 employees. Much like an SAP consultant, you will master the existing solution and adapt it to each customer, connecting the technologies it needs. This is an engineering role first: communication with customers represents less than half of your time, and the rest is hands-on building. Key responsibilities Run technical discovery with customers: map their workflows, data, systems and stakeholders, and turn business needs into clear technical requirements. Design, build and deploy LLM-based agents and workflows in the customer's environment, from prototype to production. Integrate AI with the customer's tools and data through APIs, databases, webhooks and business software, standardising what can be reused across customers. Define evaluations and success metrics, and monitor quality, cost and latency once solutions are live. Communicate progress, results and recommendations clearly to both technical and business audiences. Bring what you learn in the field back to the product team to shape the roadmap. Occasional travel to the United States may be required. Requirements Requirements 5+ years of experience as a software, full-stack or applied AI engineer, ideally in a customer-facing or founding role. Proven track record shipping LLM-powered systems to production, including RAG, AI agents, prompt engineering and evaluations. Strong programming skills in Python and/or TypeScript, with solid SQL and database experience. Experience integrating systems through REST APIs, webhooks and third-party platforms. High agency: you are comfortable with ambiguity, prioritise well and take ownership from discovery to delivery. Clear, structured communication and a high level of English (C1 or above). What will make you stand out Previous experience as a co-founder, founding engineer or tech lead, leading both product and technology. Background in machine learning or data engineering, combined with product experience. Hands-on experience with agent frameworks (for example LangGraph or similar), MCP or cloud platforms (AWS, Azure or GCP). Experience in product companies, from large technology companies (for example, Microsoft, Amazon or Google) to startups, or implementing platforms such as ERP or CRM at client sites. Benefits What our client offers Annual gross salary depending on experience: EUR 35,000 to 55,000 with 5 to 6 years of experience, and EUR 50,000 to 70,000 with more than 6 years. Fully remote, with the autonomy to organise your own work. The company is based in Spain, and remote work is possible. You will be part of the client's team, reporting to its leadership, with high-impact work on real AI products.

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