ClickJobs.io · 2 days ago
Senior Engineer - Generative AI Product Engineering
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Responsibilities
Architect, build and deploy well-managed core APIs and SDKs to access Large-Language Models (LLMs) and proprietary Foundation Models (FMs) including training, fine-tuning and prompting tasks, including orchestration SDKs.
Design APIs for performance, real-time applications, scale, ease of use and governance automation.
Develop application-specific interfaces that leverage LLMs and FMs to enhance the associate and customer experience.
Enable users to build new GenAI capabilities.
Develop tools and processes to monitor API access patterns and operational health.
Design and implement AI safety and guardrails in the API layer working closely with researchers.
Qualification
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Required
Bachelor’s degree in Computer Science, Computer Engineering or a technical field
At least 4 years of experience designing and building and deploying ML application platforms.
At least 4 years of experience programming with Python, Go, Scala, or Java
At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks
Preferred
Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.
Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.
Experience at tech and product-driven companies/startups preferred.
Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.
Familiarity with deploying large neural network models in demanding production environments.
Have experience with API security, observability, cloud access control and privacy best practices.
Benefits
Health Insurance
Financial Benefits
Incentive Compensation
Company
ClickJobs.io
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Funding
Current Stage
Early StageCompany data provided by crunchbase