This is a fully remote position, open to applicants in California.

📋 Description

• Collaborate closely with customer engineering teams to define, develop, and implement Fastino models within their production environments.

• Create integrations, data pipelines, evaluation harnesses, and services that operate on customer infrastructure, which may include cloud, VPC, and on-premises setups.

• Fine-tune and assess models using customer data, demonstrating enhancements in accuracy, latency, and cost-effectiveness over baseline metrics.

• Troubleshoot issues related to authentication, networking, GPU performance, inference processes, data quality, and edge cases.

• Manage the technical aspects of deals from initial contact to go-live, collaborating closely with founders and account executives.

• Transform field-built solutions into reusable tools, reference architectures, and improvements to SDKs.

• Relay customer feedback to research and product teams, advocating for their needs.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science or a related discipline (or equivalent experience).

• Over 3 years of experience as a software engineer, preferably with some exposure to customer-facing roles (such as FDE, solutions engineering, consulting, or similar positions).

• Proficient in Python.

• Familiarity with at least one of TypeScript, Go, or Rust.

• Practical experience in deploying LLM or ML systems to production, including APIs, fine-tuning, evaluations, RAG, or agent systems.

• Strong understanding of cloud and infrastructure fundamentals: AWS/GCP/Azure, Docker, Kubernetes, networking, and security.

• Willingness to travel to customer sites as necessary.

• Bonus: experience with GLiNER, NER, or other information extraction models.

• Bonus: experience in an early-stage startup environment.