Startups · AI

Senior AI Engineer

Further · Cleveland, Ohio; Dallas, Texas · On-site

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About Further

Market-leading fund administration solutions, powering top venture capital and private equity firms as they invest in the pioneers of tomorrow. Backed by Antler and South Park Commons.

About the role

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

What they're looking for

  • 12+ years of years experience developing and deploying Data Science and ML solutions
  • 3+ years of experience working directly with GenAI/RAG/LLM architecture
  • Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation
  • Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex
  • Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms
  • Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud
More about this role

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat!

We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.

  • 12+...

Read the full posting on Further's site ↗

AI & Cloud Engineering

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