5 часов назад
Senior Forward Deployed AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Forward Deployed AI Engineer (AI): Building and optimizing production-ready AI systems for secure, distributed environments across government cloud infrastructure and edge devices with an accent on model deployment, agentic workflows, and hardware-aware optimization. Focus on debugging data pipelines and inference systems, translating ambiguous customer requirements into technical solutions, and deploying reliable AI across restricted or disconnected networks.
Location: Austin, Texas or the Washington, D.C./Northern Virginia area preferred; fully remote candidates considered case by case. Up to 25% travel is required, including occasional on-site work at customer locations.
Company
develops AI systems and platforms for secure, distributed, and public-sector environments.
What you will do
- Scope, deploy, maintain, and troubleshoot AI solutions in customer production environments.
- Design and deploy agentic workflows for multi-step reasoning, tool use, and production decision-making.
- Debug and optimize data pipelines, model inference, and AI systems running on customer networks.
- Translate ambiguous customer requirements into well-scoped technical solutions.
- Work across the stack, from model inference on consumer hardware to infrastructure automation.
- Read hardware schematics and logs, identify performance bottlenecks, advise enterprise clients, and provide feedback to internal product teams.
Requirements
- 5+ years of combined software engineering and machine learning experience.
- Active US Security clearance required.
- Proven experience deploying and maintaining machine learning or AI systems in production.
- Strong expertise with ML frameworks such as PyTorch, TensorFlow, ONNX, or JAX.
- Experience debugging systems involving data pipelines, model inference, and hardware interaction.
- Exceptional communication skills and the ability to turn vague requirements into actionable plans.
Nice to have
- Experience deploying models on edge devices or consumer hardware.
- Familiarity with distributed systems, DevOps tooling, and performance tuning.
- Customer-facing engineering experience and full-stack application development skills.
- Knowledge of privacy-preserving AI and secure compute environments.
- Master’s degree in a relevant technical discipline.
Culture & Benefits
- Direct, full-time employment with .
- Health, dental, and vision benefits for US-based employees.
- 401(k) match, equity options, flexible time off, parental leave, and supplemental life insurance.
- $200/month health and wellness stipend and $500/year Function Health subscription.
- Continuing education support and free parking for in-office employees.
- Benefits for employees hired outside the US may vary by local law and hiring entity.
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