Applied AI Engineer

Why this role exists

The Applied AI Engineer is attached to every large enterprise account after a contract is signed. Their primary responsibility is to make the signed contract a renewed and expanded one by embedding with the customer, building the first high-value agentic workflows on our platform, and owning technical success from kickoff through go-live and expansion.

What You'll Own

• Land the deployment: Embed with a newly-closed enterprise customer, rapidly learn their operations and data, and stand up the first production agent workflows on NinjaTech in weeks, not quarters.
• Build custom, tailored solutions: Wire our platform into the customer's real systems (their data sources, identity, ticketing, CRMs, internal APIs) and build the bespoke automations, prompts, tools, and guardrails that make agents useful for their jobs-to-be-done.
• Be the technical face of NinjaTech in the room: Run working sessions with everyone from the customer's frontline operators to their CISO and CTO. Translate their vision into an architecture, and translate our platform into their language.
• Drive adoption and expansion: Instrument usage, hunt for the next high-value workflow, and turn a beachhead into an org-wide rollout. Your success metric is customer outcomes that drive net revenue retention.

What We Require

• Engineering background: You're a genuine builder. Proficient in Python and at least one of TypeScript/JavaScript, Java, or Go; comfortable across data plumbing, APIs, and a bit of front-end when a demo needs it.
• Genuine curiosity about agentic AI and LLM systems: prompt/tool design, evals, orchestration, guardrails, and the failure modes of agents in production.
• Data fluency: You can wrangle messy, large-scale, real-world data and reason about storage, pipelines, and cloud infrastructure.
• Executive presence and operator empathy: You can hold a credible technical conversation with a CTO and sit with a frontline user to understand their actual workflow. You listen before you build.
• Bias to ship: You move with speed and precision, iterate with users, and are energized (not frustrated) by evolving objectives.
• Willingness to travel up to ~25% to customer sites, and to be onsite in the Bay Area with the core team.

What We Value (nice-to-haves)

• Experience integrating into regulated or security-sensitive enterprise environments (isolated VMs, on-prem/VPC, SOC 2, HIPAA, FedRAMP-adjacent).
• Prior forward-deployed / solutions-engineering / delivery experience at an enterprise-software or infra company.
• A track record of turning a first deployment into a much larger footprint.

Compensation & Logistics

• Base range $80K to $120K depending on level and experience, plus meaningful equity and a delivery/expansion-linked bonus.
• Onsite in the Bay Area with the core team; ~25% travel to customer sites.
• Full benefits (medical / dental / vision, etc.).