Senior Software Developer

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Wonolo (Work Now Locally) is disrupting the $140BN temporary staffing industry. Founded in 2014, Wonolo’s mission is to help people find consistent work. Through our two-sided tech marketplace, we connect hundreds of businesses in need of front-line workers with 2 million underemployed workers in local markets across the United States, within minutes. Wonolo has raised over $200M in funding which will continue to help us empower the in-demand workforce by democratizing access to flexible work, opportunities to learn new skills, a living wage, and comprehensive portable benefits and perks.

We’re looking for a Senior Software Developer to help shape the future of our AI agent platform. In this role, you’ll build and ship features that directly support our customers and workers, while maintaining the core AI infrastructure that powers our systems—including search, retrieval, and knowledge-sharing capabilities. You’ll work closely with Machine Learning Engineers to productionize state-of-the‑art models, and collaborate cross‑functionally to design agentic systems that are reliable, scalable, and consistent. Along the way, you’ll contribute to architectural decisions around LLM‑driven workflows, uphold high standards for code quality and testing, and play a key role in delivering cutting‑edge AI capabilities across the stack.

We welcome qualified candidates located anywhere in the Toronto, Ontario Area and are willing to work on a hybrid model (2 days / week in office).

What you’ll do :

• Build and ship features for our AI agents that support our customers and workers
• Build and maintain core AI infrastructure, including search systems and retrieval algorithms
• Collaborate with Machine Learning Engineers to productionize state‑of‑the‑art models and techniques
• Work across the stack to deliver AI capabilities that enhance knowledge sharing
• Collaborate cross‑functionally to build and refine agentic systems that are reliable and consistent
• Ensure high standards for code quality, testing, and documentation
• Contribute to architectural discussions around LLM‑driven workflows and agentic systems

Who you are :

Nice to haves :

Pay Range :

The expected pay range for this position is $149,500 - 180,000 per year . Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to location, skill level, and years and depth of relevant experience. Additionally, this role is currently eligible to participate in Wonolo’s equity plan as well as a range of health and wellbeing, retirement savings, and other benefits within a holistic total rewards offering.

Benefits and Perks :

About Wonolo :

Wonolo is a two‑sided job marketplace that serves over 2 million front‑line workers, providing them access to flexible and consistent job opportunities across the United States within minutes, at companies such as Peloton, Coca‑Cola, Neiman Marcus, Papa John’s, and thousands more.

We are a remote‑first company with 200+ full‑time employees, and quickly scaling our team within the United States, Canada, and Latin America. We are well‑funded and backed by leading investors including Sequoia Capital, Bain Capital, and Leeds Illuminate, among others.

Commitment to Diversity, Inclusion, Equity, and Belonging

Wonolo welcomes you as you and celebrates our collective diversity. We work to serve the underserved, and we are built on the strength of our entire community. We know that diverse backgrounds, perspectives, and experiences make for the best teams, and help to drive high performance. We strive to ensure that our team represents different cultures, perspectives, and backgrounds, as these empower our team to come together to make the best decisions and the biggest impact.

Wonolo is an equal‑opportunity employer. We work to ensure all people feel supported, empowered, and connected at work. A big part of this effort is through our support for members and allies of Employee Resource Groups. Individuals seeking to work at or with Wonolo are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity, or any other protected status under all applicable laws, regulations, and ordinances.

By providing your personal information and / or submitting your application, you agree that Wonolo may use your personal information for the purposes of carrying out its recruitment and hiring process, which may include, but is not limited to, reviewing your qualifications, verifying your information, communicating with you about the recruitment process, and retaining your personal data as otherwise needed for recruitment‑related activities.

Information you provide Wonolo as part of the recruitment process is accessible only to those Wonolo employees and other third‑party service providers involved with Wonolo’s recruitment, interview, and onboarding process. Wonolo does not disclose your personal information to any third party in a manner that would be considered a sale under applicable laws. By providing your personal information as an applicant for this position or any other position at Wonolo, you agree that your personal data may be transferred and / or disclosed to Wonolo’s third‑party providers. This may include transfers to servers and databases outside the country where you provided Wonolo with your personal data.

Wonolo does not accept agency or consulting resumes. Please do not forward resumes to our job postings, email alias, Wonolo employees or any other organization location. Wonolo is not responsible for any fees related to unsolicited resumes.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Technology, Information and Internet

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