AI Engineer

First, an important note: Data shows that men on average apply for a role if they meet 3/10 requirements while women often only do so if it’s 10/10. We work hard to be clear and specific about what our roles include and demand and encourage you to apply if you see a strong (but not necessarily perfect) fit between you and the opportunity.

FutureFit AI is looking for an AI Engineer to join our Data Team to help build and scale data systems and develop machine learning models, especially large language models (LLMs). You will partner closely with our data scientists, as well as members across other functions such as engineering and product to understand backend system design, technical requirements, and performance and scalability criteria. This role requires unrelenting attention to detail, rigor in validating results and distilling complexity across a wide problem space. The right fit will be critical to accelerating product development for our generative AI strategy and ensuring we use the latest tools and approaches in a fast-moving industry.

The ideal candidate is someone who has strong data science fundamentals, thrives in a cross-functional environment, enjoys working across data engineering and infrastructure, and can apply their skills in real production settings. This role has a core focus on serving as a critical bridge between our engineering and data teams focused on our LLM-powered products and features. You should be comfortable across NLP/NLU model design, development, and evaluation to data pipelines and AI system design, as well as diagnosing both model performance and system failures.

Specific: first 100 days

• Partner with engineering in building scalable data pipelines to service LLM agent APIs

• Assist in developing and deploying APIs and models  aligned to generative AI feature needs and  our product roadmap 

• Assist in developing, improving, and scaling LLM agents and underlying architecture

• Advise and work alongside engineering on data architecture and database design suited to natural language and enterprise reporting requirements

• Collaborate with other data scientists to improve an LLM-focused evaluation and testing methodology 

• Provide input into data, training, fine-tuning, and other methods to ensure our models improve over time and remain defensible

Ongoing

• Help lead technical components of our AI projects end-to-end, from requirements, scoping, and design, to implementation, in a highly collaborative and cross-functional environment

• Exercise good taste in systems design and consult other engineering members for input on the technical design of ML systems and APIs

• Design, develop, and deploy ML models aligned to our product and data roadmaps

• Proactively explore innovative approaches for continued improvement, including a proclivity to stay up-to-date on research papers, methods, and open-source tools (ArXiv, Hugging Face, etc.)

• Work alongside data engineering to optimize and scale our pipelines and data warehouse

• Contribute mentorship to other data scientists and cross-functional team knowledge-sharing

• Ensure data privacy and compliance with relevant regulations

• Participate in code reviews and provide constructive feedback

Must Haves

• 3-5 years of experience in machine learning, data science/engineering, or a related engineering field

• A technical background (education or professional experience with CS, Statistics, Engineering)

• Strong programming skills in Python and experience in writing production-grade code

• Familiar with SQL programming and SQL / NoSQL databases (such as MongoDB, ElasticSearch) 

• Experience in data engineering tasks such as scoping, building, optimizing, and scaling data pipelines and APIs

• Proficiency in cloud tech stacks and specifically AWS services/tools such as Redshift, Airflow, and Sagemaker

• Basic to advanced experience in NLP/NLU: NER models like spaCy; building text classifiers and algorithms from SVM to neural networks like BERT; information retrieval and document understanding

• Experience with LLM deployment, fine-tuning, training, prompt engineering, etc.

• Exposure to AI/autonomous LLM agent architectures and methods including feedback mechanisms, data preparation, and memory solutions

Nice to Haves

• Experience with multi-modal LLMs and data, specifically storing and processing voice data

• Experience with Docker, Kubernetes, and Infrastructure as code

• Recent experience with LLM frameworks like Langchain and LlamaIndex

• Advanced experience with AI/autonomous agents projects, including fine-tuning LLMs, retrieval augmented generation (RAG), and task automation

Your alma mater isn’t our focus. Your grit, hunger, and drive are. If you’re one who learns continuously, tackles challenges head-on, and knows your strengths and gaps intimately, you’re our person.

• Work directly with the founding team

• Unlimited PTO

• Health care

• 401(K)

• Career Development Budget

• Technology reimbursement

• Flexible schedules built on trust

This role offers the flexibility to work remotely from anywhere in the United States or Canada while also providing access to our collaborative in-person office hubs in New York and Toronto. It will require occasional remote travel for in-person meetups, typically 3-4 times per year, likely in Vancouver, Toronto, and/or NYC.

The compensation package for this role is variable based on applied experience and other factors identified by the hiring committee. The package will be a combination of three components: base salary, equity, and performance-based compensation, and the expected range of each of the components is interdependent on the other two components. Therefore, while multiple combinations of the components are possible, the base salary range for the role is expected to be at least $160,000-$200,000.

At FutureFit AI, we believe in designing intentional and rigorous hiring journeys to help you determine if this is the best role and organization for you, based on your unique skills, mindset, and experiences. We operate at high velocity with high intensity and want an accurate taste of what that feels like before you get through the door. 

Every hiring journey at FutureFit AI consists of thoughtfully crafted steps including a performance challenge and rounds of interviews with team members. For this role, that might look like:

1. Online Application

2. Initial Screen/Checkpoint

3. Performance Challenge and Debrief

4. Team Panel Interviews

5. Final 1:1 Interviews

6. Final Decision

Generally, this entire process takes around 4 weeks, although the timing can vary due to specific candidate circumstances.

The priority application date for this role is October 16, 2023, and preference will be given to applications submitted by this date. Our team will review all applications and if we believe your qualifications would make a great fit, we'll contact you to schedule an initial screen.

High velocity, high intensity, high trust, high bar, high impact, and a will to win.

FutureFit AI could be the right next step in your career journey if reading those words resonates deeply with you, full stop. You live and lead with humility, pursue audacious goals, and are motivated by having a meaningful and positive impact on the people and the world around you.

In looking at a job posting, it’s often hard to get a basic picture of the company profile (size, stage, structure, etc.) which is why we are sharing it with you upfront. This helps you quickly decide and helps us focus any time we spend together on going beyond the basics:

1. Problem Domain: Future of Work / Workforce Development - important that the problem domain interests you even if you haven’t worked in the space before.

2. Industry: SaaS / AI - technology and data are at the core of what we build. 

3. Customers: We partner with workforce development agencies, government agencies, and employers/enterprises.

4. Structure: We are organized around the following key departments: Growth, Customer Success, Product, Engineering, Data, People & Culture, Finance & Operations.

5. Team: We are a team of 30-50 across US and Canada with main hubs in New York and Toronto.

Our Core Principles

• Be Curious 

• Drive to Outcomes 

• Raise the Bar

• Speed Matters

• Own It

• We Over Me

At FutureFit AI, we’re on a mission to unlock pathways between talent and opportunity using the power of AI. We focus on personalized, AI-powered career guidance for job seekers, emphasizing skills over extensive resumes, and partner with workforce development partners, governments, and employers to level access to opportunity.

FutureFit AI is a growing, venture-backed company focused on using technology to improve the lives and outcomes for people going through career transitions. We’re a small, driven team, united by our commitment to the job seekers and workforce ecosystems we serve. We're not just building a company; we're shaping the future of work.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.

© FutureFit AI All rights reserved, we are proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.

Tags