Software Engineer (Client Solutions)

Our mission is to accelerate positive impact in critical industries through AI transformation.

We’re growing quickly and already work with category-leaders in real estate (CBRE), energy (LevelTen Energy), logistics (Flexe) and utilities.

We’re a public benefit corporation, founded in 2024 and have been profitable from inception.

We work on challenges in clean energy, decarbonization, climate risk, energy systems and global economics. We’re building our company for long term success and aim to build the ultimate place to work if you’re passionate about AI and positive impact.

We're looking for a Software Engineer to work with our clients, turning their hardest problems into deployed AI solutions. This role sits at the intersection of engineering and client partnership. You'll build the agentic workflows, document processing pipelines, and retrieval systems that make up the substance of client engagements — and often the lightweight interfaces clients use to interact with them. Some engagements are enterprise-style deployments where reliability matters most; others are fast-moving innovation sprints where speed to a working solution wins.

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  Turn ambiguous client problems into shipping code, moving fast from open-ended discovery to a working solution.

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  Build agentic workflows and applied AI pipelines — RAG, structured extraction, OCR/document AI, and agent orchestration — using tools like LangGraph, LlamaIndex, or comparable frameworks.

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  Stand up lightweight front-ends or app-builder-style interfaces when clients need a way to interact with what you've built, not just an API.

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  Build basic eval harnesses and golden datasets so you (and the client) know a pipeline is actually working before it ships.

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  Drive projects end-to-end, from discovery through deployment, collaborating closely with client and internal teams throughout.

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  Design and write code at the quality standard the moment calls for — sometimes “right,” sometimes “right now.”

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  Advocate for engineering best practices and a strong dev culture as one of our first engineers.

• 4+ years of experience building production LLM/agent pipelines — RAG, structured extraction, or agent orchestration — not just prototypes.

• Comfort picking up whatever's needed for a client engagement, including light frontend work when a pipeline needs a face.

• A practical sense for how to validate whether an AI system is actually solving the client's problem.

• Strong client-facing communication and genuine comfort with ambiguity — you'll often be defining the problem as much as solving it.

• Willingness to work on-site or in close collaboration with client stakeholders as engagements require.

• Experience in both startup and enterprise environments

• Past work in energy, real estate, utilities, climate or related fields

• Bonus if you have experience and passion in one or more of

• Additional web frameworks (e.g. Svelte, Vue, Angular)

• Lower-level languages e.g. C++, Rust

• Networking paradigms e.g. GraphQL, Websockets

• ML capabilities e.g. Sk-learn, xgboost, Pytorch/Tensorflow/JAX, Onnx…

• Additional database types such as graph or vector databases

• DevOps e.g. CI/CD pipelines, Docker, Kubernetes, Terraform, Pulumi and/or Bicep

• Generative AI e.g. prompt engineering, RAG, fine-tuning, tooling ecosystem

• Be part of a fast-growing, profitable, mission-driven company with industry-leading clients tackling the massive opportunity of AI transformation in critical industries.

• Competitive early-stage startup compensation (based on capabilities, experience, and location)

• Bonus eligibility

• Health insurance with meaningful coverage for dependents

• Flexible paid time off

• Equity

• Fully remote culture with a cluster of teammates in Seattle

• Must be willing to travel to Seattle area for final interview and travel 2x/year for company summits

If this job sounds like a great fit but don’t check ALL of these qualification boxes, we’d still love to hear from you!