About the role
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.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting stays available for final verification.
What you’ll do
- 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
What they’re looking for
Select a requirement to inspect fit, evidence or application context.
- 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
How to apply
- Apply now and bring your whole, authentic self to work, we can’t wait to meet you!
Benefits & working conditions
- 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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About Cloudfactory
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