Software Engineer (Client Solutions)

Core Qualifications - Technical and foundational

• 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.

Values and Culture Qualifications

• High emotional intelligence and a learning mindset
• Strong collaboration skills
• Enjoy others' success and a fun, positive environment.
• Comfortable making decisions in the face of ambiguity and course correcting as needed.

Bonus Qualifications (not required but a huge plus)

• 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
• 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

Compensation & benefits

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

Logistics

Next steps