remote
AI Field Engineer
Software Engineer
AI Field Engineer who builds and deploys production AI systems on cloud infrastructure, turning complex customer challenges into scalable, high‑performance solutions using Python, Docker, Kubernetes, and ML‑Ops best practices.
About the role
Key Responsibilities
- Collaborate with customers to design, prototype, and ship AI solutions that run at scale on cloud platforms.
- Build and maintain end‑to‑end ML pipelines using Python, Docker, and Kubernetes, ensuring reliability and performance.
- Integrate OpenAI and other large‑model APIs into production workflows, optimizing inference latency and cost.
- Lead technical discussions with executive stakeholders, translating business needs into robust architecture and deployment strategies.
- Implement CI/CD pipelines and monitoring for continuous delivery and observability of AI services.
Requirements
- 5+ years of software engineering experience with a focus on AI/ML deployment.
- Proficiency in Python, Docker, Kubernetes, and cloud services (AWS preferred).
- Hands‑on experience with ML‑Ops tools, model serving, and large‑model APIs.
- Strong communication skills and ability to explain complex technical concepts to non‑technical audiences.
- Experience in a customer‑facing role or consulting environment is a plus.
Skills
pythonawsdockerkubernetescicd