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Senior AI Engineer (GenAI, LLM)

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Canada, United States, Latin America

Offer summary

Qualifications:

6+ years of experience in Machine Learning and Data Science, Proficient in large language models, prompt engineering, and vectorized databases, Strong background in AI, NLP, and statistical learning algorithms, Advanced programming skills in Python and SQL.

Key responsabilities:

Collaborate with cross-functional teams to develop products using GenAI and LLM
Utilize large language models to enhance cash flow and AR solutions
Stay updated on GenAI and LLM advancements for real-world problem solving
Provide expertise on GenAI and LLM architectures for company projects
Fine-tune LLM interactions to improve consumer experience

Tesorio Startup https://www.tesorio.com/

11 - 50 Employees

See more Tesorio offers

Job description

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 (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, and apply them to our financial products (Cashflow management, Accounts Receivables Automation etc) to solve real-world problems

Act as a subject matter expert on GenAI and LLM architectures, providing guidance and support to relevant efforts within the company.

Employ prompt engineering techniques to fine-tune LLM interactions, achieving tailored and contextually appropriate responses that elevate the consumer experience.

Requirements

6+ years of professional experience working in Machine Learning and Data Science.

Proficient in the implementation, integration, and management of large language models, with a deep understanding of their capabilities and potential applications.

Strong understanding of prompt engineering and fine tuning concepts for LLM performance.

Experience creating and using vectorized databases for data storage and retrieval.

Strong technical background in AI, machine learning, natural language processing (NLP), and related disciplines, with hands-on experience designing and implementing AI solutions.

Experience using statistical learning algorithms such as GLM, XGBoost, and Random Forest to build product features.

Advanced skills in programming and scripting, particularly in Python and SQL.

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