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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Founding Forward Deployed AI Engineer - **Company:** Neuromorphic Labs - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Software Debugging, Distributed Systems, Python (Programming Language), Key Management, Systems Integration, AI Infrastructure, Delivery Pipeline, Large Language Models, Multi-Cloud, Backend, Kubernetes, Machine Learning Operations, Software Coding - **Published:** August 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e94c7a0a4c38f0f3 ## About the Role We are looking for a deeply technical, customer-oriented engineer who enjoys building in ambiguous environments and solving real-world AI infrastructure problems. * 5+ years of hands-on engineering experience building and deploying production systems. * Strong experience with AI/ML infrastructure, MLOps, model deployment, or AI application pipelines. * Experience integrating complex software into customer or partner environments. * Strong cloud-native fundamentals across containers, Kubernetes, APIs, infrastructure-as-code, and distributed systems. * Proficiency in Python and at least one systems or backend language. * Strong debugging skills across application, infrastructure, networking, and deployment layers. * Comfortable building prototypes, demos, scripts, and integration code quickly. * Strong customer-facing communication and the ability to work credibly with engineers, architects, and technical leaders. * Ability to translate customer problems into actionable product and engineering requirements. * Strong technical writing skills and the ability to create compelling customer-facing content. * High ownership and bias for action in 0-to-1 environments., * Experience as a Forward Deployed Engineer, Solutions Engineer, Customer Engineer, or similar technically hands-on customer-facing role. * Experience with LLM training, inference, model serving, evaluation, or agentic application stacks. * Experience deploying across multi-cloud, on-prem, air-gapped, or hybrid environments. * Familiarity with security domains such as identity, access control, secrets management, key management, or trusted computing. * Experience working directly with design partners or early customers to shape a technical product. * Experience creating reference architectures, technical blogs, tutorials, workshops, or developer-facing content. * Prior startup or early-stage experience, or a big-company background and strong conviction that it is time for something different. ## Description You are not just demonstrating the product. You are making it work in the real world. As a Founding Forward Deployed AI Engineer, you will work directly with customers to integrate our platform into their AI stacks, build proof-of-concepts, solve deployment challenges, and identify the capabilities that should become part of the core product. You will move fluidly between writing code, debugging infrastructure, working with customers, and shaping product direction., You will own the technical path from customer interest to a working deployment, helping customers integrate our platform while turning field learnings into reusable product capabilities. * Build and operate AI, MLOps, and deployment pipelines across internal development as well as customer environments. * Lead technical integrations with enterprises, AI labs, and startups. * Build proof-of-concepts, prototypes, demos, and reference implementations. * Debug complex deployment and integration issues across cloud, on-prem, and hybrid environments. * Work directly with customers to understand technical requirements and turn them into working solutions. * Translate recurring customer needs into clear feedback for Product and Engineering. * Identify customer-specific work that should become reusable platform capabilities. * Create technical content including integration guides, reference architectures, demos, tutorials, and blogs. * Partner with Sales, Business Development, and Product on technical discovery, evaluations, and customer engagements. * Help define the processes, tooling, and technical standards for forward deployed engineering as the team grows. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [The Open-source Java SDK for Multi-Cloud Development - Sandeep Pal](https://www.wearedevelopers.com/videos/2113-the-open-source-java-sdk-for-multi-cloud-development-sandeep-pal) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)