Forward Deployed Engineer - Data & Ai

Global M
Pontevedra, Spain
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Information Engineering Python (Programming Language) SQL Databases Data Pipelines

Job description

Forward Deployed Engineer - Data & AIRemote across European time zones · Full-timeAn early-stage AI & Data company is looking for a Forward Deployed Engineer to work at the intersection of AI, data, product and customers .You’ll build production solutions that solve real customer problems, while helping shape the core product. This includes building AI agents, data pipelines, integrations, PoCs and evaluation frameworks, as well as working directly with enterprise customers.What we’re looking for5+ years of software/data/AI engineering experienceStrong Python, SQL and data engineering skillsEither a Data Engineer with AI/agent experience or AI Engineer with strong data experienceExperience building and shipping production systems end-to-endUnderstanding of AI evaluation and probabilistic systemsStrong communication and stakeholder management skillsComfortable working in ambiguous, fast-moving startup environmentsCommercial mindset - focused on customer outcomes and ROI , not just technologyYou’ll typically spend around 40% with customers and 40% building the core product , with significant ownership and influence over what gets built.

Requirements

5+ years of software/data/AI engineering experience Strong Python, SQL and data engineering skills Either a Data Engineer with AI/agent experience or AI Engineer with strong data experience Experience building and shipping production systems end-to-end Understanding of AI evaluation and probabilistic systems Strong communication and stakeholder management skills Comfortable working in ambiguous, fast-moving startup environments Commercial mindset - focused on customer outcomes and ROI , not just technology You’ll typically spend around 40% with customers and 40% building the core product , with significant ownership and influence over what gets built.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

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Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

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Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

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