Senior Engineer at Tesorio

Tesorio logo
Tesorio

Senior Engineer

Remote

Full Time

#Engineering

#LLM

#Python

#SQL

#Docker

#Kubernetes

Tesorio is looking for a Senior Engineer
Full TimeSeniorRemoteEngineeringLLMPythonSQLDockerKubernetesEnglishEquity compensationMedical insuranceDental insuranceVision insurance401kDisability insurancePaid time offRemote workHome office budgetWellness programs

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The Company
Tesorio is an innovative, venture-backed series B startup on a mission to build financial management tools that enable the world's most important companies to grow more quickly in a sustainable way. We deliver the world's most intuitive and actionable cash flow performance platform for companies to optimize their cash flow. Tesorio's platform analyzes billions of dollars of B2B transactions each year and helps finance teams get paid faster while saving their teams thousands of hours of work every year.
Our Accounts Receivable (AR) Automation product is a market leader, recognized by G2 as one of the Top 50 Accounting & Finance Tools in 2022 and selected for the Intelligent Applications Top 40 by prominent VCs and Goldman Sachs. With a rapidly growing customer base including top companies like Bank of America, Twilio, Box, and Ripple, Tesorio is well-funded and supported by leading investors such as Madrona, First Round Capital, Y Combinator, Floodgate, and experienced finance executives, including former CFOs of Oracle and NetSuite.
We are a fully distributed startup in North & South America. We don’t believe that people need to sacrifice being close to their families and where they’d prefer to live in order to do their best work.
About the role
To accelerate our growth trajectory, we're seeking engineers with experience in GenAI and LLM technologies to join the team. You will play a pivotal role in designing and building innovative solutions to our customers. You will work in a dynamic, fast-paced startup environment working hand-in-hand with other engineers and product managers to deliver products that have a significant impact on our business and improve the financial lives of our customers.

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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