Software Engineer

Fractional AI; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading AI solutions provider in the United States seeks a Software Engineer to design and develop innovative AI applications. You'll work directly with clients, influence project strategies, and collaborate with senior engineers. Ideal candidates have over 8 years of coding experience, a passion for AI, and strong teamwork skills. This role offers a dynamic environment engaging with various industries.

Benefits

Opportunity to work with leading firms

Collaborative team environment

Exposure to applied AI projects

Qualifications

• 8+ years of experience in software development.
• Demonstrated interest in AI applications.
• Experience with collaborating in teams.

Responsibilities

• Design and develop custom AI solutions for clients.
• Collaborate across the full project lifecycle.
• Influence company culture and strategy.

Skills

Exceptional coding skills

Interest in AI

Problem-solving ability

Self-starter

User-centric communication

Team collaboration

Tools

Langchain

OpenPipe

Pinecone

ChromaDB

Job description

About the Role

Joining Fractional AI as a Software Engineer, you’ll play a leading role in building and shipping AI applications for our clients.

By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.

What you bring to the table

• You write exceptional code + deeply care about the craft of coding (8+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages
• You are excited about AI: you have some demonstrated interest in AI - Whether you've experimented with LangChain, built an LLM-based side project, or simply have become a ChatGPT power user
• You love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen before
• You are ‘start-up ready’: you jump in without instruction, embrace a ‘no job too big, no job too small’ mindset, and want to shape strategy and culture
• You are comfortable talking with users: you deeply care about the user and skillfully navigate user conversations to ensure what we’re building meets their needs
• You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth

What you'll do

• Design and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability
• Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support
• Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love working

Our tech stack

• We’re generally tech stack agnostic - we work in our customers’ environments and code bases.
• After working at Fractional AI for a few years, you’ll be an expert at using the various foundational models, building with tools like Langchain/Langsmith, and various other tools and frameworks (e.g., OpenPipe, Pinecone, ChromaDB).

A day in the life

• You’re the tech lead for one of our customer projects - it may be automating a call center with AI phone agents or building an AI content moderation system – each project is different
• You’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline.
• You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities.
• You’ll have some solo heads down time to continuing jamming on the high priority pieces for that 2-week sprint.
• Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project.

Who you'll work with

• This role will collaborate closely with Eddie, our Co-Founder and CTO.
• You’ll work very closely with other engineers on the team -- the vast majority of our projects have multiple Fractional AI engineers working on them at once.
• You’ll also spend a lot of time partnering with our CEO, Chris, and Chairman, Travis.

Why join Fractional?

• Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.
• Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products.
• Learn with and from the best in person: We're a team of senior engineers who only want to work on high-impact projects. Working elbow to elbow in our San Francisco or NYC office means things like team lunches, quick brainstorming, and the right amount of banter.

Why shouldn't you join Fractional?

• Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency.
• Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day.
• Customers aren’t your thing: You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial.