Responsibilities
- Partner with product managers, engineers, and other data scientists to understand business requirements and build products that leverage GenAI and LLM technologies.
- Leverage relevant techniques (e.g RAG, fine-tuning, vector embeddings) to deliver high quality features
- Employ prompt engineering techniques to refine LLM interactions, achieving tailored and contextually appropriate responses that elevate the consumer experience.
- Leverage (and possibly) refine large language models to develop cutting-edge features for our cash flow performance and AR automation product.
- Stay up-to-date with the latest advancements in GenAI, LLM and related technologies - act as subject matter expert and apply these technologies to our financial products (Cashflow management, Accounts Receivables Automation etc) to solve real-world problems
Requirements
- 6+ years of professional experience working on software/SaaS products, including 2+ years working with GenAI/LLM.
- Advanced skills in programming and scripting, particularly in Python and SQL.
- Proficient in the implementation, integration, and management of LLMs, with a deep understanding of their capabilities and potential applications.
- Strong understanding RAG, fine-tuning, vectorization, and prompt engineering techniques for optimizing LLM performance.
- Hands-on experience building AI/ML product features
- Familiarity with agile development methodologies and deployment of containerized applications (e.g Docker, Kubernetes)
Benefits
- Competitive compensation package, including equity
- Medical / Dental / Vision (including spouses, domestic partners, and children)
- 401 (k)
- 100% paid long-term Disability Insurance
- Paid parental leave programs
- Monthly stipends for personal growth and fitness & health
- Choose between a home office buildout or expensing a co-working space
- Noise-canceling headphones
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