QuadSci.ai · 1 week ago
Principal GenAI Systems Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
5+ years expQuadSci.ai is a leading AI product and orchestrated performance system for B2B Software companies. The Principal Generative AI Systems Engineer will be responsible for designing, developing, and deploying applications that leverage generative AI models, working closely with various teams to ensure seamless functionality and performance of AI applications.
AnalyticsArtificial Intelligence (AI)B2BPredictive AnalyticsSoftware
Responsibilities
Design, configure and optimize the GenAI-tech stack including: LLM, Vector DB, Encoder / Decoder, prompt framework (ex. DSPy) and supporting cloud compute and service resources
Design and implement RAG pipelines that enhance generative AI models by integrating external data sources
Architect and engineer efficient retrieval systems that can fetch relevant data from databases, knowledge graphs, or external APIs to augment AI-generated responses
Develop prompting pipelines that leverage context and retrieved information to generate accurate and contextually relevant responses
Collaborate with machine learning engineers to implement advanced techniques such as vector search, semantic search, and embeddings to improve data retrieval accuracy
Build and maintain robust pipelines for data retrieval, preprocessing, and integration into the generation process
Implement automated testing frameworks to validate the performance of RAG and prompting pipelines
Ensure that the retrieval and generation pipelines are scalable, reliable, and maintainable
Continuously monitor and refine pipelines to improve efficiency and reduce latency
Implement monitoring, logging, and alerting to maintain system health and uptime
Collaborate with cross-functional teams including UX/UI designers, product managers, and DevOps engineers to deliver high-quality products
Collaborate with DataML Engineers, Integration Engineers & GenAI Engineers for customer-specific deployments & configurations
Write clean, maintainable code and conduct code reviews
Document technical architecture, processes, and best practices
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
A strong foundation in software engineering principles is essential
5+ years of professional experience in complex systems engineering, with a strong focus on AI-driven applications
Proven experience in integrating and deploying machine learning models, particularly in generative AI (e.g., GPT, GANs, VAE, etc.)
Demonstrated experience in architecting, engineering and deploying RAG pipelines for generative models and complex prompting systems
Familiarity with Python-based APIs
Preferred
Masters degree in Computer Science, Software Engineering or a related field
Experience with scalable and high-performance application development in a cloud environment (AWS, GCP, Azure)
Familiarity with technologies and/or data architectures such as: Product Analytics (e.g Pendo, Mixpanel), and Observability systems (e.. Grafana, New Relic, Dynatrace)
Company
QuadSci.ai
QuadSci is a provider of AI Products for B2B Software GTM teams.
11-50 employees
H1B Sponsorship
QuadSci.ai 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
2024 (1)
Funding
Current Stage
Early StageLeadership Team
Dan Harmeson
Co-Founder & Co-CEO
Recent News
Morningstar.com
2025-06-25
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