New York, NY, United States
Live, first seen by us 72 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design and implement LLM-driven features in production systems
Build and maintain data pipelines for structured and unstructured data
Create evaluation suites, define success metrics, and analyze failures
Diagnose and mitigate hallucination, latency, and cost issues
Implement monitoring, logging, and alerting for AI services
Design and implement LLM‑driven features in production systems.
Build and maintain data pipelines for both structured and unstructured data.
Create evaluation suites, define success metrics, and analyze failures.
Diagnose and mitigate hallucination, latency, and cost issues.
Implement monitoring, logging, and alerting for AI services.
Strong programming ability in Python with clear, tested, and maintainable code.
Hands‑on experience building with LLM tools or frameworks (prompting, structured outputs, tool‑calling, retrieval, multi‑step workflows)
Experience evaluating LLM‑powered applications: building test sets, reviewing failures, defining metrics, and iterating on prompts or retrieval.
Bachelor’s degree in computer science, machine learning, mathematics, physics, statistics, econometrics, or equivalent practical experience.
Experience contributing to production or production‑like software through work, internships, research, open source, or substantial personal projects.
- Document designs, experiments, and findings for internal knowledge sharing. - Bachelor’s degree in computer science, machine learning, mathematics, physics, statistics, econometrics, or equivalent practical experience. - Experience contributing to production or production‑like software through work, internships, research, open source, or substantial personal projects.
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Day 72
Similar jobs usually come down between day 4 and day 77.
At Newmark Group, jobs usually come down by about day 62.
From 51 similar postings that came down, and 24 of Newmark Group’s. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Build and maintain data pipelines for both structured and unstructured data. - Write clean, testable Python code and maintain reusable libraries. - Develop prompts, tool‑calling workflows, and retrieval pipelines.
- Experience contributing to production or production‑like software through work, internships, research, open source, or substantial personal projects. - Strong programming ability in Python with clear, tested, and maintainable code. - Experience with web services, data integrations, testing, logging, and basic monitoring across diverse data types.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
$140,000 - $160,000
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New York, NY, United States
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