Forward Deployed Engineer
fastino.ai6 hours ago
Remote, United StatesMid Level
H1B sponsor
Responsibilities
- Embed with customer engineering teams to scope, build, and deploy Fastino models into production systems.
- Develop integrations, data pipelines, evaluation harnesses, and services running on customer cloud, VPC, or on-premises infrastructure.
- Fine-tune and evaluate models on customer data and measure accuracy, latency, and cost against baselines.
- Debug authentication, networking, GPU and inference performance, data quality, and edge-case issues.
- Own the technical side of deals from the first call through go-live in collaboration with founders and account executives.
- Create reusable tools, reference architectures, and SDK improvements based on field implementations.
- Provide customer feedback to research and product teams and advocate for customer needs.
Requirements
- BS or MS in Computer Science or a related field, or equivalent experience.
- At least 3 years of software engineering experience, ideally including a customer-facing role such as FDE, solutions engineering, or consulting.
- Strong Python skills and comfort with at least one of TypeScript, Go, or Rust.
- Hands-on experience shipping LLM or ML systems to production, including APIs, fine-tuning, evaluations, RAG, or agents.
- Working knowledge of AWS, GCP, or Azure; Docker; Kubernetes; networking; and security.
- Ability to explain technical tradeoffs to both engineers and vice presidents.
- Bonus experience with GLiNER, NER, or other information extraction models.
- Bonus early-stage startup experience.
- Willingness to travel to customer sites as needed.
Benefits
- Full-time role based in San Francisco.
- Travel to customer sites as needed.
Categories
Forward Deployed
About fastino.ai
Fastino builds task‑optimized small language models and Pioneer, a fine‑tuning and inference system that lets developers deploy and continuously improve open‑source models without code. It targets enterprise AI teams that need accurate, fast, and secure on‑prem or cloud deployments, including near‑instant CPU inference. The privately held company’s research includes the open‑source GLiNER/GLiNER2 models with millions of downloads, and it raised a seed round in 2025.