Staff Software Engineer, Applied AI

GridUnity develops software for electric-grid interconnection management. The Staff Software Engineer, Applied AI will lead technical work to turn customer workflows into reliable software capabilities, including AI-assisted experiences and end-to-end workflow orchestration. The role partners with Product, Design, engineering teams, customers, and domain experts to deliver and measure customer outcomes.

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

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 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
• This position may involve access to data and systems subject to U.S. critical infrastructure protection regulations. Accordingly, this role is restricted to individuals who qualify as “U.S. persons,” defined by federal law as U.S. citizens, lawful permanent residents (green card holders), asylees, or refugees
• 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