Forward Deployed AI Engineer (LLM)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Forward Deployed AI Engineer (LLM): Building and scaling ’s internal AI platform and shared capabilities across GTM and G&A teams with an accent on agentic systems, workflow orchestration, and production AI architecture. Focus on designing reusable services, integrating business tools into a scalable AI data layer, and establishing evaluation, observability, governance, and deployment practices.
Company
provides a residential construction management platform that helps contractors manage financials, schedules, workflows, and client relationships in one system.
What you will do
- Own the technical architecture for ’s internal AI platform, including reusable services, agentic systems, workflow orchestration, and AI capabilities.
- Define engineering standards for internal AI development: architecture patterns, reusable components, evaluation frameworks, observability, governance, and deployment practices.
- Architect the integration and data layer connecting business tools (e.g., Salesforce, Gong, Databricks) into a scalable internal AI platform.
- Lead technical evaluations and build-vs-buy decisions for AI platforms, frameworks, and tooling in partnership with the Director of AI Enablement.
- Establish best practices for monitoring, evaluating, and continuously improving AI systems in production for reliability, security, and business value.
- Translate ambiguous business problems into well-scoped technical solutions and drive them to completion independently.
Requirements
- Location: Remote in the United States (or hybrid in Omaha, NE)
- 5+ years of software engineering experience, including 2+ years designing and deploying production AI applications using modern LLM APIs and orchestration frameworks.
- Experience owning technical architecture and influencing engineering direction across multiple teams.
- Hands-on experience with modern AI tooling such as OpenAI, Anthropic, LangGraph, MCP, and vector databases (or similar).
- Strong Python and/or JavaScript skills, including API integrations, webhook design, and data pipeline architecture.
- Ability to design and deliver multi-step AI systems and communicate technical tradeoffs to VPs and senior leadership.
Culture & Benefits
- Exceptional health packages (medical, dental, vision) plus life insurance and short- and long-term disability benefits.
- 401(k) plan with matching contributions.
- Generous paid time off (11 paid holidays plus personal days), parental leave, and paid sabbaticals.
- Volunteer time off, wellness program, and an onsite fitness center.
- Opportunities for hybrid or remote work, plus technology reimbursement for home-office tech needs.
- Free daily lunches when working from the HQ office and monthly team events.
Hiring process
- Interviews focused on technical architecture ownership, production AI application experience, and build-vs-buy decision-making.
- Discussions with engineering leadership and business stakeholders to evaluate communication and problem-scoping skills.
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