Description
Join a team that's helping some of the world's largest enterprises successfully deploy AI into production. As a Forward Deployed Engineer (FDE), you'll work at the intersection of software engineering, customer engagement, and product innovation.
You'll work on some of the most challenging AI deployments in the industry, partnering with Fortune 100 organisations to bring cutting-edge AI systems into production. Every engagement influences not only customer success, but also the future direction of the product.
Your Impact
As a Forward Deployed Engineer, you will:
- Partner with enterprise customers to understand technical requirements and business goals.
- Design scalable AI solution architectures and guide customers through production deployments.
- Build integrations, prototypes, and reusable tools that accelerate customer success.
- Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
- Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
- Create documentation, reusable best practices, and technical assets that benefit future deployments.
Minimum Qualifications
- Bachelor's degree in Computer Science or a related technical field (or equivalent experience).
- 7+ years of strong software engineering experience building production-grade applications, or Masters + 4 years of related experience, or PhD + 1 year of related experience.
- Experience with APIs, distributed systems, cloud platforms, or backend development.
- Strong troubleshooting and problem-solving skills across multiple layers of the technology stack.
- Excellent communication skills and the ability to work directly with enterprise customers.
- Comfortable working in fast-paced, ambiguous environments.
- Interest in AI, Machine Learning, or developer platforms.
Preferred Qualifications
- Experience deploying or supporting Generative AI, LLM, or Machine Learning applications in production.
- Experience with Kubernetes, cloud infrastructure, observability, or MLOps.
- Experience building customer-facing technical solutions or integrations.
- Experience creating reusable developer tools, frameworks, or open-source contributions.
- Consulting, Solutions Engineering, or Technical Customer Success experience in enterprise environments.