Founding Forward Deployment Engineer
- Location
- Madrid / San Francisco
- Employment type
- Full-time
- Salary
- €55K-€80K (Madrid) $200K-$300K (San Francisco)
- Location type
- On-site with travel
- Department
- Forward Deployment
- Posted
- Sept 2026
Role overview
Forward Deployed Engineers turn Speridlabs' models into real solutions for customers.
You work close to the problem, understand what needs to be built, and own delivery end-to-end - from discovery and prototype to deployment and validation.
What you'll do
- Understand real customer workflows and identify the problem worth solving.
- Build prototypes, integrations, applications, and production systems.
- Deploy and integrate AI models into customer workflows.
- Own technical delivery end-to-end.
- Validate solutions against clear success metrics.
- Bring recurring customer needs and learnings back into the product.
Who we're looking for
- 3-5 years of engineering experience.
- A degree in Computer Science, Computer Engineering, or a related highly technical field.
- Strong software-engineering fundamentals.
- Comfortable with ambiguity, customers, and high ownership.
- Strong technical judgment and ability to move quickly.
What you bring
- Strong Python, plus experience with TypeScript or similar languages and Docker/containerized applications.
- Experience with APIs, cloud infrastructure, databases, and production systems.
- Experience deploying or integrating ML models.
- Familiarity with LLMs and AI-native development.
The background we value
Experience in AI/ML companies, startups, product engineering, or technical roles where engineers own deployments and work directly with customers.
The attitude we value
Agency: Own the client-facing problem end-to-end, do what is needed to solve it, ship quickly, and bring what you learn back into the product.
What we bring to the table
- Competitive compensation: €55K-€80K in Madrid and $200K-$300K in San Francisco (depending on relocation), based on the candidate and level of experience.
- Visa sponsorship and relocation support: we sponsor work visas and support your move, so joining us is straightforward wherever you are coming from.
- A hyper-focused, high-agency team working on defining the next chapter of Physical AI models.
- Large-scale access to GPU and compute infrastructure, giving you the resources to experiment, train, deploy, and ship without compute becoming the bottleneck.
- Unlimited Claude and ChatGPT usage to work with the best AI-native tools available.
- High ownership and the opportunity to shape how Speridlabs builds, deploys, and scales products with customers.
Location and commitment
Madrid / San Francisco · Full-time
Open to travel and on-site customer work.
Candidates joining in Madrid should be open to future relocation to the US.