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Full-time
Posted 15d ago
~40 hrs/week
Responsibilities
You will design and implement scalable technical integrations between client systems and the CloudFactory platform while architecting agentic AI and human-in-the-loop workflows. Additionally, you will act as a trusted advisor to enterprise engineering teams, translating proof-of-concept AI systems into reliable, production-ready deployments.
Requirements
The role requires at least 2 years of software engineering experience with strong proficiency in Python and Go. Candidates must have experience with cloud infrastructure, distributed systems, and a solid understanding of the end-to-end AI/ML lifecycle.
Full job description
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:
Dallas, TX
Boston, MA
New York, NY
Seattle, WA
Chicago, IL
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
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
Bridge the gap between your AI’s promise and its real-world performance. Our technology and talent help you develop, deploy, and operate reliable, trustworthy AI from idea to production faster. We ensure your data is ready for reliable AI models, improve performance with continuous feedback loops, and close the confidence gap by making your AI systems accurate and safe at scale.
We achieve this by combining machine and human intelligence. Our modular and flexible AI platform uses a human-in-the-loop approach to correct errors and edge cases that automation alone can’t handle, continuously improving model performance. With an inference-centric methodology, unique datasets, and our skilled professionals, we enable ML teams to build better AI solutions for real-world problems, ensuring seamless development and monitoring that speeds up production and drives real financial impact.
Founded in 2010, CloudFactory is on a mission to empower talented people around the world to become the skilled humans in the loop vital for unlocking AI's full potential. We’re on four continents, with offices in the UK, the US, Germany, Kenya, and Nepal. To learn more, visit www.cloudfactory.com.
Offices: US / UK / Nepal / Kenya, US · Kathmandu, NP · 33 King's Road, Reading, Berkshire RG1 3AR, GB · 201 W Main St, Durham, North Carolina 27701, US · Peponi Rd, Nairobi, Nairobi 00100, KE
AI Enabelement PlatformAI Consulting & AI AdvisoryData CollectionData CurationData AnnotationData LabelingPrompt EngineeringSupervised Fine TuningAI EngineReinforcement Learning from Human Feedback (RLHF)
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