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fiveonefour

Full-Stack Software Engineer - LLM

Reposted 7 Days Ago
Remote
2 Locations
Mid level
Remote
2 Locations
Mid level
Develop and enhance LLM tools, build web products, mentor junior engineers, and collaborate with product and design teams.
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About Fiveonefour

We love data and analytics. And we love building software. But in our experience, to do anything exciting at scale with data/analytics, you have to leave the warm, cozy world of software development and enter the specialized workflows, tools, and technologies of the data engineering ecosystem—no more. We’re on a mission to democratize data and bring incredible software developer experiences to the data & analytics stack. In the future we’re building, ANY software developer (human or agentic) can build world-class data-driven experiences – quickly and intuitively, as a native part of their core software development experience.


We’re experienced founders with a track record of success in developer tooling and enterprise software. We have a remote-first team of 15+ backed by incredible investors, and we’re building a high-performance culture that's demanding but flexible. We’re still small but growing quickly, and joining at this time gives you a tremendous opportunity to help shape the company's culture and long-term future.


A note about our job descriptions. We’ve written tons of JDs in our careers and wanted to try something new. We believe that everyone on the team deserves to have a great relationship with their manager. Our hiring managers write their job posts, choose their words intentionally, and use this as an opportunity to open up a dialogue.

The role

We aim to enhance the team's proficiency in working with LLMs. In this role, you will contribute to building AI tools that will change how developers work and empower users to access, manage, and transform data in new ways.

I am looking for a generalist who can hold his/her own across the stack. Someone who could both build a chat interface in React or devise a context management system for a RAG application. 

With the rise of AI in software development, the speed of delivery has increased drastically, and so has the number of iterations on what it means to interact with models and how a software engineering job can be done. This is a highly demanding role that requires staying up-to-date with the latest trends to have a chance of making an impact.

What to expect from me

I am both a player and a coach for engineering team. I roll up my sleeves and care a lot about my craft. I am pragmatic, I spend my innovation chips deliberately, and will encourage you to do the same. I love learning, and I am always eager to read the latest trends and best practices. Engineering is a team sport; the best technical architectures and designs come out of tight collaborations between team members. I will challenge your designs, encourage you to hone your craft, expect you to ship code to production often, and eventually expect you to coach more junior engineers as the team grows.

What to expect from your peers

You will collaborate closely with product, design and the rest of the engineering team during this exciting growth phase. The team is a set of ambitious and pragmatic individuals who value each other's well-being. We embrace the energy of a startup environment, the grit it requires, and our diverse backgrounds and experiences enrich our collaboration. Many of us are parents and appreciate the flexibility to support our families, which we extend to all team members.

As we expand, you will be joined by other talented individuals eager to tackle challenges and achieve success together.

Responsibilities:
  • Build, Maintain, and Operate the Sloan set of tools of Fiveonefour
  • Contribute to the architecture and structure of our Sloan codebases.
  • Review and contribute to other engineers' designs and code
  • Collaborate with Product and Design to make the web products come to life
  • Participate in the recruitment process
  • Mentor more junior team members
  • Represent the company at industry events and conferences
Qualifications:Must haves:
  • Robust architectural and software design skills
  • Demonstrated Experience building with LLMs
  • Good communication skills
  • Robust coding skills in TypeScript
  • Familiarity with React front ends
  • Strong ability to learn new skills and adapt quickly
  • Undaunted by a fast-paced, entrepreneurial environment
  • Comfortable operating in ambiguity, building systems, and making sense of what others might consider chaos
Nice to haves:
  • Rust Experience
  • Kubernetes Experience
  • Data Engineering Exposure through products that you worked on or hands-on experience

If you're looking for a challenging role and are excited to build a company from the ground up, please apply!

Top Skills

Kubernetes
Llms
React
Rust
Typescript

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