Engineering Manager, AI
LawPay
AWSCloudPython
Job Level
Mid-LevelSenior
Tech Stack
AWSCloudPython
About the role
- Collaborate with product managers and stakeholders to translate business problems into AI-driven solutions.
- Design, implement, and integrate AI features into existing 8am products to enhance and expand the product suite.
- Partner with the Data team to ensure the right data is collected, enriched, prepared, and staged for AI consumption and use.
- Build and evaluate AI-powered services, from customer-facing prototypes to general availability to all our customers.
- Write high-quality Python code to manipulate data, interact with large language models, and assess performance.
- Develop tools and infrastructure to support reliable, scalable, and secure AI deployment.
- Work with our cloud operations team to deploy AI features, monitor their impact, and continuously improve them.
- Deliver on the roadmap of AI features to create new capabilities and strengthen our platform.
Requirements
- 5+ years of professional software engineering experience, ideally in full stack SaaS application development or backend.
- Proven track record of building and deploying production-ready AI/ML services.
- Hands-on experience with LLM frameworks, platforms and related tooling.
- Strong Python development skills and familiarity with data manipulation and evaluation workflows.
- Experience building scalable data infrastructure and integrating models into broader SaaS systems.
- Experience working in AWS cloud environments and with modern DevOps practices.
- Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field (preferred).
- Experience fine-tuning and optimizing Large Language Models (LLMs) (preferred).
- Experience integrating AI into streaming or real-time data flows (preferred).
- Background in Natural Language Processing (NLP) (preferred).
- Exposure to fintech or the legal industry (preferred).
