Software Engineer, Applied AI

Position: Staff Software Engineer, Applied AI

WHO WE ARE

Grid Unity is the industry leader in interconnection life cycle management, delivering cutting-edge software solutions that eliminate bottlenecks in the interconnection process and accelerate the transition to a more affordable, sustainable, and resilient energy future.

Our Mission

We unite all grid interconnection stakeholders on a single platform that converts centralized data into actionable intelligence and accelerates the transition to a reliable, sustainable, and cost-efficient electric grid.

Grid Unity is a trusted partner to leading utilities, grid operators, and policymakers. Our technology solutions tackle the interconnection queue backlog by significantly reducing processing times. Whether cutting transmission interconnection timelines from years to months or enabling distribution applications to be processed within a day, we help accelerate energy projects at every scale.

Our Vision Energizing the planet with a faster, smarter, and more sustainable grid.

Grid Unity 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.
• Type Script, Node.js, React, and cloud-based service…