Staff Software Engineer – Applied AI

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $231k - $265k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 2%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GridUnity

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

⚡ Energy

☁️ SaaS

🔌 API

Energy • SaaS • API

GridUnity is a company that streamlines transmission and distribution interconnection in the energy sector, providing faster and more efficient energy project approvals. Their automated, data-driven solutions enhance transparency and collaboration for utilities, transmission providers, and developers, addressing the growing challenges of electricity demand and interconnection backlogs. With a focus on end-to-end interconnection life cycle management, GridUnity's SaaS platform supports all stakeholders by offering real-time insights and seamless integration with existing systems for modernized energy deployment.

📋 Description

• Translate customer needs into executable workflows by mapping triggers, outcomes, participants, evidence, decisions, exceptions, and handoffs • Implement AI-assisted experiences, typed tools, service integrations, and workflow orchestration • Connect AI assistance end-to-end to completed customer work • Extend reusable foundations for reliable orchestration, resumability, grounded retrieval, and human approvals • Decompose opportunities into deliverable increments, resolve cross-team dependencies, and guide implementation • Create representative scenarios and evaluations covering correctness, incomplete information, exceptions, permissions, and failure recovery • Partner with Product to measure improvements in effort, correction cycles, throughput, and decision quality • Make uncertainty, evidence coverage, source versions, permitted actions, and approval boundaries explicit • Engineer for production performance, observability, safe rollout, failure recovery, prompt injection resistance, and prevention of unauthorized tool actions • Partner with Product, Design, engineering, and domain experts; report to the Director of Engineering, Applied AI • In the first 90 days, learn the product and customers, identify an AI workflow opportunity, build and test an initial solution, gather feedback, recommend next steps, and establish reusable approaches

🎯 Requirements

• Demonstrable experience delivering customer-facing software and leading consequential technical work across teams or services • Hands-on experience building production AI applications that retrieve information, invoke tools, or coordinate multi-step work • Effective at partnering with qualified experts rather than substituting AI judgment for engineering authority • Strong software engineering skills, including APIs, structured contracts, asynchronous execution, testing, and observability • Experience connecting AI capabilities to real application state and authorized actions, not only conversational prototypes • Sound judgment about deterministic logic, AI assistance, and human decisions • Experience designing evaluations and investigating failures involving incomplete data, ambiguous requirements, or unreliable model outputs • Ability to work directly with customers and domain experts, clarify ambiguous needs, and translate them into bounded, testable solutions • Clear communication and ability to raise the effectiveness of other engineers through technical leadership • U.S. person status: U.S. citizen, lawful permanent resident, asylee, or refugee • Legally authorized to work in the United States without visa sponsorship • Preferred: electric utility, interconnection, transmission, distribution, DER, storage, large-load, regulated or evidence-intensive enterprise applications • Preferred: TypeScript, Node.js, React, cloud-based service architectures, document processing, workflow engines, engineering-tool integration, or enterprise authorization models

🏖️ Benefits

• Competitive compensation packages that recognize your expertise and contributions • Remote-first culture that provides flexibility and balance • Professional development opportunities, including training, mentorship, and career pathing • Comprehensive health, dental, and vision insurance starting day one • Short- and long-term disability and basic life insurance at no cost to you • 401(k) plan with a 4% match • Flexible PTO • Mission-driven work with the opportunity to make a significant impact in the energy sector • Bonus offered

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