Remote job · IT and software
Forward Deployed Engineer
In one line: Forward Deployed Engineer is a remote role in the United States at a company in applied AI and machine learning.
- USD 300,000 to 650,000 per year
- Remote (US)
- A company in applied AI and machine learning
- Posted 15 Sep 2026
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https://keywordise.com/mcpApply to Keywordise job wncoly6nncAbout the role
An engineer who works closely with AI research groups and enterprise partners, turning unclear AI problems into scoped projects and production systems across the full delivery lifecycle.
At a glance
- PayUSD 300,000 to 650,000 per year
- Remote scopeRemote, United States
- Posted15 Sep 2026
- Last checked17 Oct 2026
What you will do
- Partner with research teams and enterprise clients to set goals, requirements and project direction
- Build large scale data intelligence systems for collecting, evaluating and improving training data
- Create ML pipelines for curation, training, evaluation, experimentation and deployment
- Develop LLM applications such as multi-agent systems, tool-using agents and RAG workflows
- Design taxonomies, labelling schemes and evaluation rubrics to raise data quality
What they look for
- Advanced Python skills with a record of shipping production systems end to end
- Hands-on work with LLMs, agentic systems, tool use, RAG or AI automation
- Experience with data pipelines, ML infrastructure, model evaluation or research workflows
- Understanding of data quality, taxonomy design, labelling and dataset curation
- Comfort operating independently in ambiguous, partner-facing settings with strong ownership
Questions about this job
Can I do this job remotely, and from which countries?
Yes. The posting lists Forward Deployed Engineer as a remote role for candidates in the United States.
What does this job pay?
The posting states USD 300,000 to 650,000 per year.
What experience is needed?
The posting asks for: advanced Python skills with a record of shipping production systems end to end; hands-on work with LLMs, agentic systems, tool use, RAG or AI automation; experience with data pipelines, ML infrastructure, model evaluation or research workflows.
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