Senior AI Engineer (m/f/d)
eigenblue · New York, NY
—
Jul 16, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A senior engineering role focused on building AI systems for physical R&D automation, covering areas like mechatronics and robotics. Day-to-day work spans designing and deploying LLM and non-LLM models, building MLOps infrastructure on cloud platforms, implementing RAG systems and multi-agent architectures, and integrating AI capabilities into user-facing products. Suited to someone with a strong ML/AI background and hands-on production deployment experience.
Mid level · 3+ years · National · Master's required
Advertised as Senior, but the requirements read as Mid.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The posting is from 'eigenblue', a company with a German-style job title suffix '(m/f/d)' — a legal gender-neutral designation common in Germany/Austria/Switzerland. No city or country is explicitly stated, but the company appears to be European (likely German-speaking). US-based flag is set to false accordingly; US compensation benchmarks will not apply.
The degree requirement is 'Master's or PhD' — Master's is treated as the minimum hard gate. The JD does not offer an equivalent-experience alternative.
The experience range is stated as '3-6+ years', so the overall years minimum is set to 3 (the minimum of the range).
The seniority assessment is Mid despite the 'Senior' title: 3-6 years of experience and a founding-team, hands-on build role align more closely with a Mid-to-Senior boundary; the lower bound of the stated range (3 years) anchors the pool sizing to Mid.
Cloud platform requirement lists Azure, AWS, and GCP — these are presented as interchangeable options ('cloud platforms (Azure, AWS, GCP)'), so AWS and GCP are captured as alternatives to Azure.
Advanced AI specializations (simulation of dynamic systems, world models, reinforcement learning, planning and control, physics-informed models, robotics/mechatronics) are framed as 'expertise with one or several' — i.e., at least one is required but the specific domain is flexible. Representative options are listed as preferred skills to reflect this optionality.
SFT/RFT fine-tuning pipelines and LLM-as-a-judge metrics are listed in the requirements section alongside RAG and multi-agent architectures; these are subsumed under the LLMs and RAG skills rather than emitted as separate named tools, as they describe techniques rather than distinct named technologies.
No compensation figures are provided in the posting.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.