CloudFactory Logo

CloudFactory

Forward Deployed Engineer

Posted 5 Days Ago
Be an Early Applicant
In-Office
Berlin
Junior
In-Office
Berlin
Junior
Design and implement scalable AI integrations, agentic AI and human-in-the-loop workflows, data pipelines, APIs, and production-ready deployments. Translate AI proofs of concept into reliable systems, troubleshoot client integrations, evaluate performance, reduce manual intervention, and contribute to platform improvements. Lead technical discovery workshops, support pre-sales validation, advise enterprise stakeholders, and use deployment insights to influence product roadmap priorities.
The summary above was generated by AI

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!

Similar Jobs

2 Days Ago
In-Office
Entry level
Entry level
Artificial Intelligence • Fintech • Professional Services • Software
Build and deploy software, internal tools, integrations, automations, and AI-enabled workflows for German tax advisory teams. Discover operational workflows, rapidly prototype MVPs, gather user feedback, and scale successful solutions into reliable systems. Collaborate with founders, engineers, operators, and tax professionals throughout the delivery process. The role requires strong hands-on engineering, product thinking, user engagement, and production deployment skills in ambiguous environments.
Top Skills: Ai AgentsAPIsDatabasesIntegrationsLlms
2 Days Ago
In-Office
Senior level
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, implement end-to-end data pipelines, applications, and ML/AI integrations, and guide enterprise customers through adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders to deliver measurable outcomes. Contribute reusable frameworks and technical feedback while supporting customer training, documentation, and strategic initiatives.
Top Skills: Ai ApisSparkAWSAzureCi/CdDatabricksGCPJavaScriptMl/Ai ModelsMlopsPythonScalaTypescript
6 Days Ago
In-Office
London, England, GBR
Expert/Leader
Expert/Leader
Artificial Intelligence • Machine Learning • Business Intelligence
Build AI-powered enterprise solutions for customers using HASH. Partner with stakeholders to understand workflows and data, translate ambiguous business problems into technical plans, design and deploy systems, write production code, lead implementation and rollout, and advise customer teams. Work across knowledge graphs, structured and unstructured data, LLM workflows, and automation while collaborating with product, engineering, and research teams to develop repeatable solution patterns.
Top Skills: Ai/MlAutomationData EngineeringKnowledge GraphsLarge Language Models (Llms)Typescript

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account