Software Engineer (Client Solutions)

Summary

AZX is a public benefit corporation focused on accelerating positive impact in critical industries through AI transformation. The Software Engineer will work with clients to turn complex problems into deployed AI solutions by building agentic workflows, document processing pipelines, retrieval systems, evaluation tools, and lightweight interfaces, while driving engagements from discovery through deployment.

Responsibilities

• Turn ambiguous client problems into shipping code, moving fast from open-ended discovery to a working solution
• Build agentic workflows and applied AI pipelines — RAG, structured extraction, OCR/document AI, and agent orchestration — using tools like LangGraph, LlamaIndex, or comparable frameworks
• 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
• Build basic eval harnesses and golden datasets so you (and the client) know a pipeline is actually working before it ships
• Drive projects end-to-end, from discovery through deployment, collaborating closely with client and internal teams throughout
• Design and write code at the quality standard the moment calls for — sometimes “right,” sometimes “right now.”
• Advocate for engineering best practices and a strong dev culture as one of our first engineers

Skills

• • 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
• • 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
• • Remote but only USA/Canada
• • Must be willing to travel to Seattle area for final interview and travel 2x/year for company summits
• • Applicants must be currently authorized to work in the United States on a full-time basis
• • We are unable to sponsor or take over sponsorship of employment visas at this time
• • Experience in both startup and enterprise environments
• • Past work in energy, real estate, utilities, climate or related fields
• + 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

Qualifications

Must Haves

• • 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
• • 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
• • Remote but only USA/Canada
• • Must be willing to travel to Seattle area for final interview and travel 2x/year for company summits
• • Applicants must be currently authorized to work in the United States on a full-time basis
• • We are unable to sponsor or take over sponsorship of employment visas at this time

Nice to Haves

• • Experience in both startup and enterprise environments
• • Past work in energy, real estate, utilities, climate or related fields
• + 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

Benefits

• 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