Software Development Engineer, fabric
Artificial Intelligence
CA$160-200k
More information about location
Modular and headless platform for modern e-commerce
Be an early applicant
Modular and headless platform for modern e-commerce
501-1000 employees
Be an early applicant
CA$160-200k
More information about location
501-1000 employees
Company mission
fabric's mission is to help businesses and people connect through commerce.
Role
Who you are
- 7+ years of experience in applied ML / AI engineering, with a strong track record of shipping and operating production AI systems in high-growth startups
- Experience in product-focused environments building end to end SaaS products, where ownership and execution matter
- Demonstrated ability to work in ambiguous, 0→1 problem spaces
- Proven experience building and deploying ML models for real-world use cases (e.g., recommendations, search, NLP, categorization)
- MLOps & Infrastructure: Deployment, monitoring, CI/CD, ML pipelines, containerization, and cloud infrastructure
- Full-stack ML expertise across:
- Data Engineering (feature engineering/ store, distributed data processing)
- Modeling (deep learning, classical ML, RL, unsupervised learning)
- MLOps (deployment, monitoring, CI/CD, infrastructure)
- Product Building - building end-end SAAS products
- Strong programming skills using Spark, Python, TensorFlow/PyTorch, MLFlow, Airflow, Docker, Kubernetes, etc
- Experience with Knowledge graphs is a big plus
- Bachelor’s or Master’s degree in Computer Science, Engineering, Econometrics/ Statistics, or related field—or equivalent practical experience
- Passion for building usable, scalable products — not just research or models
- Clear communicator with a collaborative mindset, eager to grow and contribute within a small, fast-paced team
What the job involves
- We’re looking for a Senior AI Engineer (SDE III) to play a critical role in architecting, building, and scaling our agentic AI platform and core AI agents
- This role goes beyond model development—you’ll help define how AI systems are designed, deployed, evaluated, and evolved across the company
- You’ll join a small, high-impact team, working closely with our CTO and AI Team, owning core components end-to-end in a true 0→1 environment. This is an opportunity to shape foundational AI systems at a well-funded startup, with real product ownership and influence on technical direction
- Own the full lifecycle of AI/ML solutions—from problem framing and system design through training, evaluation, deployment, and iteration in production
- Translate ambiguous business problems into scalable AI architectures and agent behaviors
- Drive technical decisions around model selection, data strategy, and evaluation frameworks
- Design and implement production-grade agentic systems, including reasoning, planning, orchestration, memory, and tool-use
- Ensure systems are reliable, observable, and perform at scale
- Improve system reliability through metrics, alerts, drift detection, and performance monitoring
- Evaluate and integrate emerging techniques (e.g., LLMs, RAG, knowledge-augmented systems) with a strong focus on production readiness and ROI
- Stay curious and informed. Explore new tools, libraries, and research to keep improving the quality and performance of our AI systems
- Help build intelligent data products such as recommendation engines, personalization, categorization, search ranking, forecasting, and fraud detection
- Collaborate across teams and work closely with product managers, designers, and software engineers to build AI agents that solve real world problems
Our take
The global e-commerce market is massively on the rise. Driven by changing consumer habits, especially the growth of shopping on mobile devices, the global market grew by almost $3 trillion between 2015 and 2020 and reached roughly $7 trillion in 2025.
Founded in 2017, fabric offers a "headless" commerce platform as a service to retailers, merchandisers, and sellers to streamline their e-commerce operations. The so-called "headless" commerce separates the front- and back-ends of e-commerce websites and applications, which allows brands greater flexibility and faster page loads.
fabric's strategy is focused on technology and innovation, particularly through the use of scalable software and APIs. Targeting brands that are "too big for Shopify" yet "too fast for Salesforce", it is looking to appeal to a niche within the e-commerce market that existing competition hasn't yet taken advantage of.
This approach has attracted a lot of interest, both from brands and investors, leading to major funding rounds in 2021 and 2022. fabric is using these funds to ramp up product development and expand into more markets.
Steph
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2022
$140m
SERIES C
Jul 2021
$100m
SERIES B
Total funding: $292.5m
Company benefits
- Competitive compensation packages
- PTO and Holiday plans
- Benefits packages which include Medical, Dental, Life, and Vision
- Fast-paced, fun and collaborative environment
- A team invested in you both personally and professionally
Company HQ
Pioneer Square, Seattle, WA
Leadership
Mike Micucci
(CEO)Previously COO of Automation Anywhere and was an Advisor at Thankful, Swell and Bluecore.
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