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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer (Client Solutions) - **Company:** AZX INCORPORATED - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Experienced - **Salary:** $140,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, C++ (Programming Language), Databases, Continuous Integration, DevOps, Machine Learning, Svelte, Tensorflow, Web Application Frameworks, WebSocket, Pulumi, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Vue.js, AngularJS, Kubernetes, ONNX (Open Neural Network Exchange) Format, Xgboost, Bicep, Graphql, Machine Learning Operations, Front End Software Development, Terraform, Docker - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6c0126a4664af507 ## About the Role * 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. Bonus Qualifications: * 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 ## Description 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., * 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. ## Related Videos - [AX is the only Experience that Matters](https://www.wearedevelopers.com/videos/1404-ax-is-the-only-experience-that-matters) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Lessons learned from building a thriving Vue.js SaaS application](https://www.wearedevelopers.com/videos/1666-lessons-learned-from-building-a-thriving-vue-js-saas-application) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)