Remote Senior AI Engineer - Multidisciplinary System Design

Aimlroles; New York (NY); Remote; USD 100,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Generous PTO

Remote work with WeWork access

Travel budget for Munich HQ events

Job summary

eigenblue – We're building the future of engineering. Senior AI Engineer (m/f/d) to build our AI product from the ground up, developing AI solutions for physical R&D automation and system design.

You will deploy LLMs, design RAG and multi-agent architectures, and implement MLOps with Docker, Kubernetes, and FastAPI on cloud platforms. Remote position with WeWork day-pass and travel to our Munich HQ for events.

Qualifications

• Master's or PhD in CS/Software Engineering with 3–6+ years in AI/ML.
• Experience deploying LLMs and implementing MLOps on cloud platforms.
• Expertise with RAG, multi-agent architectures, SFT/RFT, and LLM evaluation metrics.
• Experience with robotics/mechatronics and simulation of dynamic systems.
• Excellent written and verbal English communication.

Responsibilities

• Develop and deploy advanced AI solutions (LLM and non-LLM) for physical R&D automation.
• Design, implement, and test AI reasoning using ontology and algorithms.
• Build production-ready MLOps infrastructure with Docker, Kubernetes, and FastAPI.
• Collaborate with AI/Data Engineers, Product Managers, Chief Officers and Software Teams to build data pipelines.
• Implement and optimize RAG systems, multi-agent architectures, and SFT/RFT while addressing biases and evaluating LLMs.

Skills

AI/ML development

LLM deployment

MLOps

CI/CD pipelines

Docker

Kubernetes

Education

Master's or PhD in CS/Software Engineering

Tools

Docker

Kubernetes

FastAPI

Azure/AWS/GCP

Job description

eigenblue – We're building the future of engineering. Senior AI Engineer (m/f/d) to build our AI product from the ground up, developing AI solutions for physical R&D automation and system design.

You will deploy LLMs, design RAG and multi-agent architectures, and implement MLOps with Docker, Kubernetes, and FastAPI on cloud platforms. Remote position with WeWork day-pass and travel to our Munich HQ for events.