Staff Software Engineer (Applied AI) - Platform Team
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Job Description
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GridUnity is seeking a Staff Software Engineer to join our Platform team, reporting to the Director of Engineering, Applied AI. You will turn our customer workflow vision into reliable capabilities.
You will be the dedicated technical leader partnering closely with Product, Design, engineering, and domain experts to discover high-value opportunities, build workflow capabilities, and help ensure we deliver measurable customer outcomes. You will own the technical approach for selected high-value workflows, collaborating with Product on prioritization, domain experts on engineering acceptance, and platform and application teams on implementation.
Responsibilities
Translate customer needs into executable workflows. Map triggers, desired outcomes, participants, evidence, decisions, exceptions, and handoffs across full workflows and their constituent tasks.
Build and ship capabilities. Implement AI-assisted experiences, typed tools, service integrations, and workflow orchestration within the existing application.
Connect the experience end-to-end. Ensure assistance leads to completed work—not disconnected chat answers, reports, or recommendations.
Extend reusable foundations. Build on our product's existing runtime, tools, personas, skills, and application services to improve reliable orchestration, resumability, grounded retrieval, and human approvals.
Lead technical execution. Decompose opportunities into deliverable increments, resolve cross-team dependencies, and guide implementation without becoming the sole implementer.
Evaluate real-world quality. Create representative scenarios and evaluations covering correctness, incomplete information, exceptions, permissions, and failure recovery.
Measure customer outcomes. Partner with Product to establish baselines and assess improvements in effort, correction cycles, throughput, and decision quality.
Preserve customer trust. Make uncertainty, evidence coverage, source versions, permitted actions, and approval boundaries explicit.
Engineer for production. Address latency, model and tool costs, observability, safe rollout, failure recovery, prompt injection, and unauthorized tool actions.
Required Experience
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 building conversational prototypes.
Sound judgment about where deterministic logic, AI assistance, and human decisions belong.
Experience designing evaluations and investigating failures involving incomplete data, ambiguous requirements, or unreliable model outputs.
The ability to work directly with customers and domain experts, clarify ambiguous needs, and translate them into bounded, testable solutions.
Clear communication and the ability to raise the effectiveness of other engineers through technical leadership.
Preferred Experience
Electric utility, interconnection, transmission, distribution, DER, storage, or large-load workflows.
Regulated or evidence-intensive enterprise applications.
TypeScript, Node.js, React, and cloud-based service architectures.
Document processing, workflow engines, engineering-tool integration, or enterprise authorization models.
Deep electrical engineering expertise is valuable but not required.
Our Technology
We build cloud-based software using TypeScript, React, Node.js, PostgreSQL, and AWS, alongside modern AI tools.
You do not need experience with every tool we use. We value sound engineering judgment and a track record of delivering reliable software that solves real customer problems.
Your First 90 Days
Learn our product and customers’ needs.
Identify a practical opportunity for AI to improve a customer workflow.
Build and test an initial solution, gather feedback, and recommend next steps.
Help establish approaches the team can reuse.
How Success Will Be Measured
Success means helping customers get important work done more easily and reliably—not simply building demos or increasing AI usage.
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GridUnity
View Company ProfileGridUnity is the premier, enterprise-grade grid interconnection and renewable energy orchestration platform engineered to operate as the definitive, unified data infrastructure layer for global utilities, transmission providers, and energy developers. Operating as a mission-critical clearinghouse for the clean energy transition, the company eliminates the severe systemic friction of legacy interconnection queues—which frequently suffer from multi-year engineering evaluation delays, manual spreadsheet tracking, and opaque regulatory compliance workflows—by deploying its full-stack cloud-native SaaS suite. Moving far beyond traditional, isolated engineering simulation tools or static document repositories, GridUnity empowers premier energy suppliers and regional transmission operators (RTOs/ISOs) to dynamically synchronize their real-time grid capacity mapping, automated engineering review pipelines, complex multi-stage model validations, and stakeholder communications with elite, scalable, and audit-ready precision. Under the hood, their sophisticated proprietary operational core—bolstered by automated power flow analysis data integrations, secure utility-grade security architectures, and compliance-hardened regulatory reporting tracks—natively orchestrates high-velocity application lifecycle streams, engineering queue priority tracking, and complex grid-impact data reporting. What sets GridUnity apart is its uncompromising dedication to open, friction-free data orchestration; by bridging the gap between highly performance-intensive power systems engineering and accessible, high-velocity enterprise workflow management, the platform enables modern energy networks to radically accelerate renewable integration velocity, eliminate systemic grid lockouts, and build an unassailable foundation for continuous commercial scaling and carbon reduction goals.
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