MESO SCALE DIAGNOSTICS, LLC. · 1 day ago
Senior Engineer, Artificial Intelligence
United States
Full-time
Remote
Mid, Senior Level
$101K/yr - $155K/yr
3+ years expMESO SCALE DIAGNOSTICS, LLC. is focused on expanding capabilities at the intersection of traditional software development and artificial intelligence. The role involves designing and implementing sophisticated retrieval systems, fine-tuning models, and developing robust prompting strategies to create efficient models for on-premise deployment.
Innovation ManagementManufacturingTest and Measurement
Hiring Manager
Jeff G.
Responsibilities
Design and implement retrieval-augmented generation (RAG) systems with both semantic and traditional search capabilities
Develop and optimize vector search systems for effective information retrieval
Create data preparation pipelines for model fine-tuning
Execute and evaluate model fine-tuning experiments
Design and test prompt engineering strategies and in-context learning approaches
Build fault-tolerant applications integrating with AWS Bedrock and SageMaker
Implement production-grade Python backends for AI-powered features
Develop evaluation frameworks for RAG and fine-tuning performance
Design and implement knowledge distillation pipelines for smaller, deployable models
Optimize models for on-premise deployment in data center environments
Engineer reasoning capabilities in smaller self-hosted models
Evaluate trade-offs between model size, performance, and reasoning capabilities
Manage model deployment and monitoring in on-premise environments
Qualification
Required
Bachelor's degree in Computer Science or related field is required with a minimum of three years of relevant experience
Master's degree with two years of relevant experience
Ph.D. in relevant field with focus on machine learning, NLP, or related issues
Experience designing and implementing production AI systems, including:
Prompt engineering and in-context learning
Retrieval-augmented generation (RAG) systems
Model fine-tuning and evaluation
Knowledge distillation for deployment
Production experience with Python and modern web frameworks
Cloud platform experience, preferably AWS AI/ML services
Deep understanding of:
LLM capabilities, limitations, and evaluation methodologies
Vector databases and embedding systems
On-premise model deployment considerations
Demonstrated ability to:
Design and optimize production-grade AI systems
Apply systematic, data-driven approaches to experimentation and evaluation
Balance technical constraints with business requirements
Make sound technical decisions in complex situations
Lead technical discussions and present solutions effectively
Collaborate across engineering, research, and business teams
Working knowledge of:
Model optimization techniques
Data center operations
Infrastructure-as-code practices
Demonstrated critical thinking and analytical skills, as well as the ability to handle complex situations and demonstrate sound judgment and problem-solving
Excellent communication skills with the ability to organize, present, and articulate ideas both verbally and in writing
Strong cross-functional collaboration skills
Ability to balance model performance with resource constraints
Company
MESO SCALE DIAGNOSTICS, LLC.
Founded in 1995, Meso Scale Discovery (MSD) is a global leader in the development, manufacture, and commercialization of innovative assays and instruments for the measurement of molecules in biological samples.
1001-5000 employees
H1B Sponsorship
MESO SCALE DIAGNOSTICS, LLC. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (14)
2023 (6)
2022 (10)
2021 (11)
2020 (7)
Funding
Current Stage
Late StageLeadership Team
Oskar Austegard
Senior Director of Software Engineering
Recent News
Verified Market Research
2025-06-04
2025-02-26
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