AI Platform Engineer
DOIT Software
Do you enjoy working on data-intensive products and being involved in projects from an early stage? Come join our quickly growing Engineering team to help design, improve and scale OfferFit's self-learning (reinforcement learning) AI platform.
OfferFit is an AI Decisioning “brain” that ingests data from warehouses and CDPs (customer data platforms, e.g., Segment) and makes decisions that are activated by marketing platforms of the enterprises we work with (platforms like Braze, SFMC, Adobe, Iterable, etc.). This role focuses on creating the infrastructure and connections needed for seamless deep event-driven integration between OfferFit and these other platforms.
In particular, you will:
Apply software engineering best practices for coding, testing, and documentation to design and implement modular software components as part of a cutting-edge ML platform.
Lead the design, implementation and optimization of platform integration solutions, ensuring reliability and scalability across diverse enterprise platforms.
Design and implement event-driven, cloud-native architectures that balance performance and cost-effectiveness while providing robust fault tolerance and adaptability for evolving business requirements.
Continuously identify opportunities to enhance system performance, streamline processes, and adopt cutting-edge technologies.
Work closely with OfferFit customers and internal stakeholders to translate real-world use cases into platform features.
Collaborate with teams responsible for OfferFit’s product strategy and roadmap.
Tech stack:
Core Data & ML: Python (Pandas, Polars, Ibis, Spark), SQL, BigQuery, FastAPI, MLflow, Streamlit
Platform & Infrastructure: Google Cloud Platform, Kubernetes, Helm, Terraform
Workflows & Orchestration: Airflow, RabbitMQ, Celery
CI/CD: GitHub Actions, Sonar, Sentry
Web [Not required for this role] : JavaScript, HTML, CSS
Why is it great:
No toy datasets in notebooks — we’re implementing AI pipelines in production at scale!
Learn tons about data architecture, data science, and self-learning AI.
Work in a team that not only talks the talk of development best practices, but walks the walk — unit & integration tests, modular design, CI/CD, pair programming, code reviews — the works.
Join OfferFit’s fast-paced, supportive, and professional team. We make sure all of our team members are empowered and receive great mentorship and coaching.
Who’s a Fit:
Exceptional coder : you write clean, object-oriented code; you care about good design and terse, testable APIs
Tinkerer : you regularly explore and learn new technologies and methods, especially in the data architecture and data science domains
Entrepreneurial : you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes
Structured and organized : you can structure a plan, align stakeholders, and see it through to execution
Clear communicator : you are able to express yourself clearly and persuasively, both in writing and speech
Strong problem solver : you have the ability to break down intricate technical problems and identify innovative approaches to resolve them
Additional Requirements:
Candidates must be able to partially overlap and support North America time zones
Must be fluent in English, both written and verbal
Up to 10-15% travel for company-wide quarterly gatherings, team offsite workshops, customer meetings, and industry-related events
OfferFit Benefits and Perks:
Generous PTO (starting at 25 days PTO per year) and Parental Leave policy (12 weeks paid)
100% remote work environment with flexible hours
Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress
Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)
Ability to learn and develop from an experienced leadership team (ex-Amazon, McKinsey, BCG, and IBM, among others) who are focused on building a talented, diverse, and inclusive team
Dedication to building a strong culture (e.g., team resource groups, weekly recognitions, major life event celebrations, mental health/sustainability days off, etc.)
Please note that we adjust compensation for non–US countries using a relative cost of labor adjustment between the US and your country of residence. Applicants should apply via OfferFit’s internal or external careers site.
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