Forward Deployed Engineer

Job not on LinkedIn

🔥 12 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $300k - $650k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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24-MAG

WebsiteLinkedInAll Job Openings

2 - 10 employees

🤝 B2B

💼 Consulting

B2B • Consulting

24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.

📋 Description

• Work directly with AI research teams and enterprise partners to define research goals, technical requirements, and project direction • Translate ambiguous AI and machine-learning problems into clearly scoped technical projects • Act as a technical implementation partner across research, engineering, product, and stakeholder teams • Move between research questions, technical architecture, hands-on engineering, and partner-facing execution • Own technical systems from discovery through implementation, deployment, iteration, and ongoing reliability • Build large-scale data-intelligence systems for collecting, organising, evaluating, and improving training and evaluation data • Implement ML pipelines for data curation, model training, evaluation, experimentation, and continuous improvement • Develop infrastructure for model inference, experimentation, evaluation, and deployment • Design reliable workflows supporting advanced AI research and production environments • Build and maintain systems supporting complex data and machine-learning workloads • Develop LLM applications including multi-agent systems, tool-using agents, RAG workflows, and human-in-the-loop systems • Build evaluation harnesses and infrastructure for assessing agent and model behaviour • Develop systems that extend AI experiments into reliable, repeatable, multi-turn workflows • Implement agentic automation across technically complex business and research processes • Apply modern LLM tooling and model-evaluation approaches to production-oriented AI systems • Design data taxonomies, labelling systems, evaluation rubrics, and quality frameworks • Improve dataset structure and quality to support stronger model performance and research outcomes • Develop workflows for dataset curation, annotation, validation, and quality assurance • Analyse data and model behaviour to identify opportunities for system improvement • Apply rigorous standards to training data, evaluation datasets, and research workflows • Project scope and research priorities may evolve depending on technical and partner requirements

🎯 Requirements

• Strong professional experience as a software, machine-learning, applied AI, or infrastructure engineer • Advanced Python engineering skills with experience building and shipping production systems end to end • Practical experience with LLMs, agentic systems, multi-turn workflows, tool use, RAG, or AI automation • Experience building or maintaining data pipelines, ML infrastructure, model-evaluation systems, or research workflows • Strong understanding of data quality, taxonomy design, labelling workflows, and dataset curation for AI systems • Ability to operate independently in ambiguous, partner-facing environments with strong technical and product ownership • Comfortable working directly with researchers, technical partners, founders, and enterprise stakeholders • Experience within a startup, AI infrastructure company, applied AI organisation, or research-focused engineering team is advantageous • Experience building multi-turn agents, agent-evaluation systems, workflow automation, or human-in-the-loop AI is advantageous • Familiarity with modern LLM tooling, agent frameworks, model-evaluation stacks, and ML experimentation platforms is beneficial • Experience acting as a technical partner to external customers, research teams, or strategic enterprise accounts is strongly valued • Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party

🏖️ Benefits

• Remote work • Travel required as needed for partner-facing collaboration and project execution