Senior Applied AI Engineer, Zapier
$202.5-255.7k
Salary applicable to US applicants only, for Canadian applicants the range is $202.500 – CA$255.700. Plus equity
More information about location
Workflow automation service
Job no longer available
Workflow automation service
501-1000 employees
Job no longer available
$202.5-255.7k
Salary applicable to US applicants only, for Canadian applicants the range is $202.500 – CA$255.700. Plus equity
More information about location
501-1000 employees
Company mission
Zapier's mission is to Make Automation Work for Everyone!
Role
Who you are
- We’re looking for someone who not only has deep experience working with LLMs but also understands how to harness these tools to create new, valuable experiences
- This role sits at the intersection of traditional skill sets, requiring both the expertise of ML research and the practical know-how of backend engineering, along with proficiency in the latest AI technologies
- You have 7+ years of experience, with at least 5 of those years dedicated to building distributed, scalable web applications. You possess strong communication skills, problem-solving abilities, and a drive to deliver outstanding customer experiences for both external users and internal stakeholders
- You are familiar with underlying technologies like transformer networks, attention mechanisms, and how they contribute to models’ abilities to generate coherent responses, generate function calls, and perform other language tasks
- You have worked with large language models (LLMs) to perform complex tasks in production environments. You’re well-versed in advanced prompt techniques for LLM grounding, such as chain-of-thought, static few-shot examples, and dynamic few-shot examples. You also have experience fine-tuning LLMs to meet specific needs, focusing on training data optimization and bias mitigation
- You are proficient in deploying evaluation frameworks for LLMs, with a focus on performance, reliability, and bias assessment
- You have experience with Retrieval-Augmented Generation (RAG) systems and understand how to optimize knowledge retrieval for improved model accuracy and speed. You have a solid understanding of different indexing and chunking strategies based on the system’s data and goals, as well as semantic search and vector databases, and how they differ from traditional retrieval methods and databases
- You have a proven track record of working through the full lifecycle of building, testing, deploying, and scaling LLM architectures
- You are an expert at identifying and documenting trade-offs made during the development process
- You have strong experience building with cloud infrastructure technologies
- You love shipping to customers. You’ll be on a team focused on understanding customers' needs and translating those needs from specifications into functional, production-ready code. You know how to balance speed versus quality to support the features we build for our
- You embody our values. At Zapier, our values are at the heart of how we work together and how we think about our customers. In our remote setting, they help develop trust and ensure we work and collaborate to democratize automation
What the job involves
- We're looking for a Senior AI Engineer to join Zapier’s AI Code Gen Team and help us move closer to our mission of making automation accessible to everyone
- As a Senior AI Engineer on our team, you’ll play a crucial role in designing, developing, and maintaining AI-powered systems that solve real-world problems
- You’ll be responsible for integrating AI models into existing software, troubleshooting, and ensuring these systems run smoothly
- Communication is key—whether you’re collaborating with fellow engineers or explaining complex AI concepts to non-technical stakeholders, your ability to bridge that gap will be vital
- You understand that AI-based applications thrive on data-driven feedback loops, which will be central to any system you develop. These loops will capture and instrument user data, synthesize core use cases, and implement/test strategies with LLMs to enhance performance
- You will be responsible for integrating LLMs into software products at Zapier, setting up the necessary infrastructure to ensure performance, scalability, and reliability
- You will explore new and divergent LLM systems that can create measurable improvements over our current implementations
- You will design and implement prompting strategies for LLMs to help users create new automations, making the process more intuitive and efficient
- You will design and develop comprehensive evaluation suites to assess model performance and reliability
- You will monitor the performance and health of AI systems, proactively detecting and addressing issues such as system failures and performance degradation
- Depending on your experience, you may implement LLM-assisted retrieval algorithms to provide accurate answers over large datasets
- You will collaborate with Data and cross-functional teams to refine and deploy LLM-based features
Application process
- 30 September 2024 at 05:00 BST
Our take
Even before remote working became the "in thing", freelancers, small business owners, and large organisations have found themselves needing more and more software platforms to serve their operational needs. As people used more software services, Zapier founders saw the need to connect the actions between these software and save everyone some time.
Zapier is the largest integration and automation tool for businesses. Since its founding, Zapier has grown its suite of automation offerings across almost every mainstream software service. The company is one of the most successful to come out of Y Combinator and has also been a pioneer of remote working.
Zapier has so far been able to capitalise heavily on its advantage as one of the first entrants and has had very little actual competition. Software services aren't going anywhere anytime soon, and organisations are only going to need more of them. This puts Zapier in a strong position for growth, but also opens up room for bolder companies to get in on the action. Companies like Airtable and Integromat are already preying on more niche segments of Zapier's market share.
Freddie
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (2 rounds)
Oct 2012
$1.3m
SEED
Sep 2012
$0.2m
SEED
Total funding: $1.5m
Company benefits
- Work from anywhere
- Bonus program
- Unlimited vacation policy
- Great healthcare + dental + vision coverage*
- Retirement plan with company match*
- Stock options for every Zapien**
- 2 annual company retreats to awesome places
- 14 weeks paid leave for new parents
- Home office setup stipend
- Professional development allowance
Additional info
- As a fully remote company with 800+ team members across 40+ states, 38 countries, and 18+ timezones, we’ve adopted a culture of asynchronous work. This work style allows teams to collaborate effectively across locations, time zones, skills, and each individual’s energy levels, and empowers employees to work in a setting that fits their needs. In practice, we live on Slack, with most conversations in public channels. It mimics the open-office feel and allows everyone to search the chat logs if they need to find something that happened when they weren’t around
Leadership
Wade Foster
(Co-Founder & CEO)Prior to co-founding Zapier, wasEmail Marketing Manager with Veterans United Home Loans, and Customer Development Lead at The Idea Works.
Bryan Helmig
(Co-Founder & CTO)Was previously Product Dev/Manager at Veterans United Home Loans.
Mike Knoop
(Co-Founder)Was CPO and Head of Labs at Zapier before becoming President. Previously was a Graduate Research at the University of Missouri.
Share this job
View 14 more jobs at Zapier