AI RAG Engineer

About Cypris:

At Cypris, we're building the single ecosystem for global innovation data. Cypris is an AI-powered research tool that centralizes data sources like scientific papers, global patents, market news, and company data into one platform. Cypris arms users with access to unique insights from 500M+ global data points, answering key questions about their market, competitors, core technologies & more to support new product development, commercial strategy & accelerate global innovation.

We’re connecting R&D teams to the global innovation landscape like the Bloomberg Terminal did for the finance world & Pitchbook for venture capital. Current users include leading R&D & innovation teams at mid-size to Fortune 100 companies operating in emerging markets like aerospace, genomics, cancer research, autonomous vehicles, and more.

In this Role you Will: 

• Contribute to architecture decisions, ensuring our tech stack aligns with business needs and growth.
• Create robust data pipelines in Python capable of processing and analyzing datasets comprising hundreds of millions of documents.
• Develop a framework for integrating advanced NLP and retrieval methodologies that will set the standard for our organization's AI efforts.
• Bring your past experience to evaluate multiple approaches, identify the most effective strategies, and implement a solution that meets our performance and scalability requirements.
• Work closely with our engineering, data, and product teams to integrate semantic capabilities into our core services and ensure smooth adoption across our platform.
• Monitor the performance of the new pipeline and iterate quickly based on community innovation and feedback.

A Key Candidate Will Have: 

• Demonstrable experience in building and scaling data processing pipelines in Python.
• Hands-on experience managing and processing very large datasets.
• A track record of working with retrieval-augmented generation or similar AI architectures, with the insight to choose and implement the right approach for a given use case.
• Ability to establish best practices and guide the team on what a best-in-class pipeline should look like, even when starting from scratch.
• Familiarity with startup environments and a passion for working at our stage of growth.
• A track record of delivering features at velocity while maintaining high standards for code quality.
• Strong communication skills, with the ability to articulate decisions and solutions effectively, while engaging meaningfully with the team and naturally participating in discussions and idea sharing.

Technologies we use

• Python & Java Spring Boot
• Angular
• GCP
• OpenAI & Others
• MongoDB, Cloud Storage
• Elastic Search (Semantic and Regular Search)

Through this role, you will get:

• A strong base salary & highly incentivized option structure
• To help drive the future growth of our platform
• To have your voice & opinion heard
• Proper training to be armed with the right knowledge to find success in our market
• All of the necessary tools to drive peak productivity

FREQUENTLY ASKED QUESTIONS

How do I get in touch?

You can submit an application & we’ll be in touch! If your resume and background appear like a good match, we will reach out for an initial phone screen.

Where is Cypris located?

Cypris has offices in New York and Los Angeles.

What are Cypris' future hiring plans?

We're constantly looking for the best talent in all facets of engineering, sales, customer success, marketing etc. We will regularly post new job opportunities on this page, AngelList or LinkedIn. Right now our immediate focus is on Sales, Marketing & Engineering.

How does Cypris make money?

We sell annual access to our dashboard to R&D, innovation & IP teams looking to get in touch with the innovation landscape. We also build custom reports for objective-oriented projects. Both can be included in one package.

What does the interview process look like?

The process depends on the role. For all positions, we like to start with a quick intro call just to make sure we're aligned.

From there, we typically do a longer (45min) call with one of our team members that can appropriately vet your skills & "speak your language" - on the engineering side, this might mean some technical questions, while on the sales side we ask you to build a quick presentation about yourself.

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