Forward Deployed Engineer
- Status
- Open
- Remote policy
- Not stated
- Employment type
- Full-time
- Salary
- Not stated
- Categories
- Engineering, Information Technology and Services, Operations
- Source
- arbeitnow
- First observed
- 2026-09-04 01:09 UTC
- Last seen
- 2026-09-04 02:10 UTC
- Source claims posted
- 2026-09-03 23:20 UTC
- Consecutive misses
- 0 of 3
What the posting says
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.
More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.
Our Culture
At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:
Mission-Driven: We focus on creating economic and social impact.
People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
Innovative: We embrace change and find better ways to do things together.
Globally Connected: We foster collaboration between diverse cultures and perspectives.
If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!
Role Summary:
Cloudfactory is an AI enablement company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage AI to disrupt their industries but lack the skills or capabilities needed to design, prove, develop and deploy AI solutions we offer Forward deployed Engineering services that can advise, design, prove, develop, scale and operate AI solutions for them.
You will work directly with strategic clients to design and implement scalable technical integrations, define production-ready workflows, and ensure AI systems transition from experimentation to reliable deployment.
This is a hands-on engineering role with strong product and client-facing responsibilities.
Location & Travel:
Preferred location: Reading area, UK and Berlin, Germany
Relocation assistance available for qualified candidates
Frequent travel to client sites may be required (depending on client needs)
Responsibilities:
AI Deployment Architecture:
Design and implement integrations between client systems and CloudFactory’s platform
Architect scalable agentic AI & human-in-the-loop workflows
Define data ingestion, transformation, and feedback loops
Evaluate system bottlenecks (latency, quality, throughput)
Product Readiness & Scale:
Translate proof-of-concept AI systems into scalable production workflows
Identify operational risks before deployment
Partner with Delivery teams to ensure execution feasibility
Improve reliability and reduce manual intervention
Hands-on Engineering:
Build APIs, connectors, automation scripts, and data pipelines
Debug integration issues in client environments
Contribute to internal platform enhancements
Field Product Intelligence:
Surface recurring patterns from client deployments
Distinguish between custom solutions and reusable features
Influence roadmap priorities with evidence from the field
Technical Leadership:
Lead technical discovery sessions
Support pre-sales validation
Act as trusted advisor to enterprise engineering teams
Requirements
Engineering depth:
2+ years software engineering experience
Strong proficiency in Python, Go
Proficiency with Claude and all relevant AI tools
Experience with cloud infrastructure (AWS/GCP/Azure)
Experience building APIs and working with distributed systems
Systems thinking:
Experience designing data pipelines or ML infrastructure
Ability to evaluate end-to-end workflow performance
Familiarity with AI/ML lifecycle (training → inference → evaluation → feedback)
Product judgement:
Ability to differentiate scalable feature opportunities from custom requests
Strong prioritization instincts
Communication:
Ability to communicate with C-level and deeply technical stakeholders
Comfortable running technical workshops
Able to translate ambiguity into architecture
Benefits
At CloudFactory, we believe that work should be more than just a job, it should be a platform for growth, impact, and community. Here, you’ll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we’d love to have you on this journey!
Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work, we can’t wait to meet you!
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Quality
- x Salary range stated weight 35%
- x Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#560846 2026-09-04 01:09 UTCPublished
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#562495 2026-09-04 02:10 UTCModified
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Description
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced...->At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced...
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Description