AI Engineer (Forward Deployed)
$200k - $350kscalr
Job Description
AI Engineer (Forward Deployed)
\n \nSF/NYC / Travel / $200k-$350k + early stage equity
\n \nMy client is looking for a Forward Deployed Engineer to sit at the intersection of engineering and customer delivery, building production AI systems directly with enterprise clients. You'll spend your time in customer environments, not just shipping code from behind a product spec, turning ambiguous real-world problems into working software that customers actually use.
\n \nDay to day, that means building and deploying LLM-powered and agentic systems, retrieval-augmented applications, and getting GenAI features from prototype into reliable production use. You'll own the evaluation and reliability side too, not just the initial build, so what you ship keeps working after you leave the room.
\n \nStrong fit for engineers coming from client-facing, applied-AI or consulting-led backgrounds, particularly those with experience at top-tier strategy or technical consulting firms. A strong CS degree is expected.
\n \nWhat My Client Is Looking For:
\n- \n
- 3+ years of industry experience \n
- Comfortable operating with ambiguity and directly in front of customers \n
- Strong Python and/or TypeScript skills in production environments \n
- Track record deploying data-heavy or AI-enabled applications \n
- Able to communicate clearly across technical and non-technical audiences \n
- Open to travel, roughly 20 percent \n
- Wants the pace and ownership of a startup environment \n
Nice to Have:
\n- \n
- Prior forward-deployed or customer-facing engineering role \n
- Hands-on production experience with ML, LLMs, or agentic systems \n
- Frontend experience, React preferred \n
$167k - $203k
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$130k - $180k
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$175k - $200k
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$120.5k - $231k
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$350k
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$160k - $200k
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$30 per hour
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$190k - $235k
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