Solutions Engineer

Posted 22 Days Ago
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San Francisco, CA
Hybrid
Junior
Artificial Intelligence • Software
The Role
As a Solutions Engineer at Refuel.ai, you will engage with customers to guide them through technical challenges, develop onboarding materials, and collaborate with engineering for feature development. You’ll leverage Python and AWS to build technical demonstrations and assist in their deployment, focusing on enhancing the customer experience with AI applications.
Summary Generated by Built In

About Refuel.ai


The Mission

Great companies are built on great data. The most successful companies - think Amazon, Google and Meta - employ thousands of data scientists, and spend billions on infrastructure and human operations to solve this problem today.


Refuel’s platform enables enterprises to clean, enrich and label their mountains of messy, unstructured data at superhuman accuracy, by leveraging state-of-the-art LLMs. Recognizing merchants in credit card transactions, parsing candidate resumes, enriching business profiles, standardizing product catalogs – these are just a few examples of applications that our users are building with Refuel, and we’re just getting started. With LLMs, we believe we can solve this data quality bottleneck for every single enterprise in the world, and accelerate the era of AI abundance


The team

Refuel was founded by Rishabh Bhargava and Nihit Desai, and is backed by General Catalyst and XYZ Ventures. We are a small, tightly knit team of builders with deep backgrounds in AI, having worked at the world's leading technology companies and institutions such as Meta, Google Deepmind, Amazon, Lyft, Primer.ai, Stanford and Cambridge. We work out of our offices in San Francisco, CA.

What you will do

  • Work closely with our customers to lead the technical execution of high-priority post-sales engagements and POCs. You will apply your technical and analytical skills to close the last-mile gap in Enterprise AI adoption to ensure our customers are successful with Refuel across the lifecycle of AI applications.
  • Leverage your expertise in LLMs and Refuel’s capabilities to build technical guides and onboarding material for users and advise them on the deployment, integration, and use of our platform.
  • Diagnose and map customer challenges to Refuel’s product capabilities, while simultaneously anticipating new customer needs.
  • Partner with our engineering team to identify, prioritize, and contribute to new feature development based on customer feedback.

You will be a great fit if you have

  • Strong technical communication skills, to effectively convey technical solutions and value propositions to customers, and facilitate collaboration across teams.
  • Proficiency in writing and quickly iterating on experimental code for demos and proof of concepts. We’re flexible in terms of your choice of programming languages but most of our codebase is in Python and our primary cloud provider is AWS.
  • Ability to thrive in a fast-paced, dynamic environment, working independently and as part of a small team.
  • Familiarity with building and evaluating LLM applications is a big plus.
  • Prior experience leading customer-facing technical engagements in a pre-sales or post-sales role is a big plus.

What we offer


Since the start of 2024, we have grown more than 10x in terms of revenue and users. We are looking for engineers to lead the development of Refuel’s platform and backend services.


This is an opportunity to join a talent-dense early team, and what we believe will be a generational company. As a member of our early team, you will have meaningful equity ownership in the company, and more importantly the opportunity to have a massive impact.

Top Skills

Python
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The Company
San Francisco, CA
16 Employees
On-site Workplace

What We Do

Generate, annotate, clean and enrich datasets for all your AI needs with Refuel's LLM-powered platform. Simply instruct Refuel on the datasets you need, and let LLMs do the work of creating and labeling data.

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