7 часов назад
Forward Deployed Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI): Building, testing, and deploying reliable AI agents for customer workflows across finance, healthcare, legal, retail, and telecommunications with an accent on domain-specific automation, deterministic reasoning, and customer collaboration. Focus on expanding agent reasoning capabilities, designing rigorous evaluation frameworks, and creating reusable deployment patterns for complex edge cases.
Location: Mountain View or New York, United States; on-site
Company
is an AI model lab developing agentic models for reliable, policy-aligned enterprise customer experience applications.
What you will do
- Design, build, test, and deploy AI agents tailored to customer requirements across finance, healthcare, legal, operations, retail, and telecommunications.
- Collaborate with the research team to expand model reasoning capabilities and add new domains of expertise.
- Work directly with customers to iterate on implementations and translate feedback into platform improvements.
- Build evaluation frameworks for testing agent performance and reliability across edge cases.
- Create reusable patterns and tools for deploying agents in new domains.
Requirements
- 3+ years of software engineering experience with a record of shipping production systems.
- Strong Python skills.
- Familiarity with modern AI agent development.
- Previous experience in a customer-facing technical role, such as Solutions Engineer or Forward Deployed Engineer.
- Interest in building agentic systems and exploring advanced AI capabilities.
- Ability to work autonomously in ambiguous environments and translate customer needs into technical solutions.
Culture & Benefits
- Significant autonomy in defining technical approaches and building customer solutions.
- Direct collaboration with customers, research, product, and engineering teams.
- Opportunity to work with a novel deterministic model architecture rather than simply wrapping existing LLMs.
- Work on reliable AI automation for real-world enterprise workflows.
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