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# Forward Deployed AI Engineer

- **Company:** Sax 5th Ave Car Wash Inc
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Software Debugging, Django Web Framework, Python (Programming Language), Node.Js, Recommender Systems, SQL Databases, Systems Integration, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Prompt Engineering, Agentic-AI, Fastapi, Pandas, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** October 6, 2026
- **Apply:** https://www.thejobnetwork.com/job/c7b46f89-6c52-43fa-ad42-6f1754e6bb8c/forward-deployed-ai-engineer

## About the Role

You are an engineer who builds fast, ships to production, and cares about business outcomes, not just technical elegance. You are comfortable working directly with non-technical stakeholders, translating ambiguous business problems into clean technical solutions, and iterating in tight cycles. You take pride in code that works in the real world, not just in a notebook. Specifically, * 3+ years of experience building and deploying software products end to end (design, implementation, testing, deployment, maintenance)
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 * Expert in Python (Django, Flask, FastAPI, Pandas, etc.) and/or JavaScript (React, Node). These are our primary languages and you should be deeply fluent in at least one.
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 * Strong experience with SQL, data modeling, and cloud infrastructure (AWS, GCP, or Azure)
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 * Hands-on experience with generative AI: you have built RAG systems, AI agents, prompt engineering pipelines, fine-tuned models, or similar. This is not a "nice to have," it is core to the role.
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 * Experience with data engineering, integrations, ETL/ELT pipelines, and working with messy, real-world data
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 * Experience with data science and ML: NLP, recommender systems, classification, regression, neural networks. You don't need to be a research scientist, but you should be comfortable selecting, training, and deploying models.
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 * You have owned production systems. You know what it means to deploy, monitor, debug, and maintain software that real users depend on.
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 * You are comfortable in client-facing environments. You can explain technical trade-offs to a CEO, scope a solution with a business stakeholder, and present a demo to a PE partner.
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 * Experience managing or mentoring other engineers is a strong differentiator. You will be expected to elevate the technical bar of the broader team.
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 * B.S. or M.S. in Computer Science, Engineering, or a related technical field