Senior Software Engineer, AI Platform

Rivian; Toronto; On-site; CAD 120,000 - 158,000; Full time

Job summary

A leading automotive technology company in Toronto seeks a Senior Software Engineer to shape their GenAI platform. This role involves architecting intelligent agents and automating workflows using LLMs. Candidates should have an advanced degree in Computer Science and at least 8 years of experience in software engineering. Strong skills in Golang and cloud frameworks like AWS are vital. Competitive salary and robust benefits package included.

Benefits

Medical, dental, and vision insurance

Effective coverage on the first day of employment

Premiums covered by the company

Qualifications

• 8+ years of hands-on experience in software engineering.
• Experience in designing and building large-scale distributed systems.
• Demonstrated success in deploying complex agentic applications.

Responsibilities

• Architect and lead the development of intelligent agents utilizing LLMs.
• Define and drive the technical vision for LLM integration.
• Collaborate with cross-functional teams to deliver impactful solutions.

Skills

Expertise in Golang

Proficiency in Python or similar

Deep expertise with AWS and Kubernetes

Excellent communication and teamwork skills

Education

Bachelor's, Master's degree or Ph.D. in Computer Science or related

Job description

About Us

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.

The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.

Role Summary

As a Senior Software Engineer specializing in agentic applications, you will be a key technical leader and influential voice in shaping our GenAI platform's architecture and strategy. You will play a pivotal role in integrating LLMs with our internal and customer-facing applications at scale. Your focus will be on leveraging LLMs to drive cognitive automation, streamlining workflows, and enhancing decision-making. You'll also pioneer and evangelize best practices in building resilient, scalable, and observable distributed systems, ensuring production-grade tools that are scalable, reliable, and maintainable across the organization.

Responsibilities

• Architect Design of Agentic Systems: Architect and lead the development of highly scalable and sophisticated intelligent agents that utilize LLMs to automate workflows, optimize operations, and elevate user experiences across our internal and customer-facing applications.
• Shape LLM Integration Strategy: In partnership with your peers, help define and drive the technical vision and long-term strategy for integrating LLMs with our evolving software ecosystem, ensuring robust, scalable, and maintainable communication and data exchange.
• Drive the Cognitive Automation Roadmap: Collaborate with product managers and other technical leaders to identify and prioritize high-impact opportunities for cognitive automation. Leverage LLMs to automate complex cognitive tasks, such as information extraction, summarization, and question answering, to enhance efficiency and accuracy system-wide.
• Champion Scalable System Design: Take ownership of the entire development lifecycle, from conceptualization and design to implementation and deployment, for our most critical machine learning-powered tools and applications.
• Establish and Uphold Engineering Best Practices: Define, implement, and enforce industry-leading standards for building production-grade, distributed machine learning solutions, ensuring scalability, reliability, and maintainability.
• Drive Technical Consensus and Influence Direction: Continuously research and experiment with emerging trends in machine learning, AI agents, and distributed systems.
• Collaborate and Lead Cross-Functionally: Work closely with Machine Learning engineers, product teams, and senior leadership to gather requirements, define project scope, and deliver impactful solutions. Drive technical alignment across multiple teams.
• Mentor and Develop Technical Talent: Share your expertise and provide guidance to senior engineers and technical leads, fostering a culture of technical excellence, innovation, and continuous learning.

Qualifications

• Advanced Degree: Bachelor's, Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field.
• Proven Experience: 8+ years of hands‑on experience in software engineering, with a deep focus on designing and building large‑scale distributed systems. Extensive, hands‑on experience in building and deploying complex agentic applications leveraging LLMs in production environments.
• Strong Technical Skills: Expertise in Golang is strongly preferred. Proficiency in Python or similar programming languages, as well as deep expertise with cloud and container frameworks such as AWS and Kubernetes. A proven track record of designing and building highly scalable, fault‑tolerant, and observable distributed systems.
• Deep Understanding: Expert‑level grasp of machine learning principles, algorithms, and evaluation metrics, as well as software engineering best practices for distributed systems.
• Production Experience: Demonstrated success in leading the design, deployment, and operation of scalable backend software in high‑stakes production environments.
• Collaborative Spirit and Technical Leadership: Excellent communication and teamwork skills, with a proven ability to influence, build consensus with senior engineering peers and align cross‑functional teams and senior stakeholders on complex technical decisions.
• Passion for Innovation: A genuine interest in exploring the latest advancements in machine learning and natural language processing and applying them to solve impactful business challenges at scale.

Pay Disclosure

Salary Range/Hourly Rate for Toronto Based Applicants: $120,000.00 - $158,000.00 CAD (actual compensation will be determined based on experience, location, and other factors permitted by law).

Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full‑time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.

Equal Opportunity

Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.

Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [e-mail].

Candidate Data Privacy

Rivian and VW Group Technologies ("Rivian and Volkswagen Group Technologies") may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies’ service providers, including providers of background checks, staffing services, and cloud services.

Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information.

Please note that we are currently not accepting applications from third party application services.