doola is a dynamic company committed to simplifying the complexities of business formation payment setup compliance taxes and more. We empower entrepreneurs and businesses of all sizes to navigate the intricate landscape of financial and regulatory requirements with ease allowing them to focus on what truly matters - building and growing their ventures.
About the Role
Were hiring an engineer who blends large-language-model know-how data-platform chops and product sense. You will architect the AI stack from ingestion pipelines through model deployment stand up a credit-aware inference platform and integrate language models into both customer-facing features and internal tools.
Key responsibilities
Own the AI roadmap translate business priorities into model data and infrastructure milestones.
Build data & ML infrastructure design data lake feature store vector search (pgvector) model registry and CI/CD for ML.
Develop and deploy models train or fine-tune models on doolas domain data; serve them behind low-latency cost-controlled APIs.
Ensure quality cost and compliance set up automated evaluation token-spend monitoring and GDPR-safe data flows.
Skills and qualifications
610 years in back-end or full-stack engineering with at least one Gen-AI product or workflow in production.
Strong in Java and fluent in Python or Node for ML tooling.
Practical experience with LLMs embeddings vector search and retrieval-augmented generation.
Deep familiarity with AWS or GCP services container orchestration CI/CD and monitoring.
Comfortable setting up data models and MLOps processes (model registry drift alerts blue-green model deploys).
Proven leadership in code reviews technical mentoring and cross-functional communication.
Bonus qualifications
Fine-tuning or QLoRA workflows on open-source models.
Background in fintech bookkeeping or reg-tech domains.
Open-source contributions in AI/ML.
Prior leadership of distributed engineering teams.
Why join us
Opportunity to work with a dynamic and innovative company at the forefront of the industry.
Collaborative and supportive team environment with opportunities for growth and development.
Competitive compensation package with insane opportunity for growth.
Our values and non-values
Establishing team values is critical. We believe its equally essential to identify team non-values. Were stronger in driving our mission home with both values and non-values taken into account. Note: Our goal in sharing these up front and transparently is to be as straightforward with people as possible. Our goal is not to be combative in our language; its to be straightforward.
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