> Markdown version of [/jobs/ext/2456775-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2456775-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer

- **Company:** BLR Wind Down LLC
- **Location:** San Mateo, CA, United States
- **Experience:** Experienced
- **Salary:** $175,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Python (Programming Language), Load Testing, Machine Learning, Open Source Technology, Graphics Processing Unit (GPU), Large Language Models, Kubernetes, Machine Learning Operations
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cb1717f44c77dae8

## About the Role

* At least 4 years in customer-facing AI/ML or infrastructure roles (e.g., AI Field Engineer, Applied AI Engineer, Solutions Architect, ML Engineer, etc.) with a proven track record of leading technical workstreams and deploying production AI/ML solutions directly into enterprise environments
 * Hands-on experience with LLM inference/training, open-source/open-model frameworks, modern model-serving architectures, fine-tuning (SFT required; DPO/RFT highly desirable), strong Python skills, GPUs/accelerated computing, AWS/Azure/GCP, Kubernetes/containers, and distributed AI/ML systems
 * Exceptional communication, stakeholder management, consultative problem-solving, and the ability to engage both engineering teams and executive leadership while managing multiple priorities in a fast-paced setting, * Do you have any experience with startup environments? If so, explain.
 * Have you ever had a customer-facing engineering role? If so, explain.
 * Do you have experience with open-source AI models? If so, explain.

## Description

Our client is hiring an AI Engineer for a customer-facing role. You will partner directly with sophisticated enterprise clients to turn ambitious AI initiatives into production-ready systems, combining deep technical expertise with strategic advisory work.

This position is remote-friendly across the United States (with coastal office hubs), involves regular domestic travel for customer engagements, and is full-time with hybrid flexibility (minimum 3 days in office if near a hub). Visa sponsorship/transfer support is available for select candidates., * Lead technical discovery, scope and execute POCs, conduct model evaluations/benchmarking/load testing, and serve as a trusted advisor throughout the customer lifecycle

 * Design, build, and deploy end-to-end production AI solutions in customer environments, handling infrastructure, security, compliance, and governance constraints while optimizing generative AI applications and workflows
 * Advise on model selection and deployment; implement fine-tuning strategies (SFT, DPO, RFT); develop evaluation frameworks; and guide best practices for inference, optimization, and operationalization
 * Own technical relationships across complex accounts, cultivate internal champions, address objections, and align technical/business stakeholders for successful long-term adoption
 * Bridge customers and internal product/engineering teams by surfacing challenges, feature requests, and market trends that influence the product roadmap


## Related Videos

- [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Load Testing AI: Aiming at a Moving Target](https://www.wearedevelopers.com/videos/1914-load-testing-ai-aiming-at-a-moving-target)
- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [AI for Enterprise Developers - Dr. Damir Dobric](https://www.wearedevelopers.com/videos/1831-ai-for-enterprise-developers-dr-damir-dobric)
- [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)