Role Description We’re seeking a highly capable AI Developer to scope, design, and build AI-powered workflows and internal tools that improve business efficiency and unlock new capabilities. You’ll work closely with stakeholders to identify high-impact opportunities for AI integration, then translate those into functional solutions using LLMs, automation platforms, and APIs. This is a hands-on role requiring both strategic thinking and execution - from defining use cases and designing workflows to building, testing, and iterating on AI-driven systems. You’ll be expected to stay up to date with the latest developments in AI tools, models, and best practices, and proactively introduce new ideas that can create measurable business impact. Qualifications - Excellent spoken and written English - Proven experience building AI-powered workflows, automations, or internal tools - Experience building AI agents or multi-step workflows - Familiarity with vector databases, embeddings, or retrieval-augmented generation (RAG) - Experience working in fast-paced startup or scale-up environments - Basic coding skills (Python, JavaScript, or similar) - Strong experience working with LLMs (e.g. OpenAI, Claude, or similar) and prompt engineering - Experience with automation platforms such as N8N, Zapier, Make.com, or similar - Ability to scope AI use cases and translate business problems into technical solutions - Experience integrating APIs and working with multiple systems and data sources - Strong understanding of AI capabilities, limitations, and practical applications in business - Experience rapidly testing, iterating, and deploying AI solutions - Ability to stay up to date with emerging AI tools, trends, and technologies - Strong problem-solving skills and systems thinking - Ability to communicate technical concepts clearly to non-technical stakeholders - High attention to detail and focus on building reliable, scalable solutions - Fast and reliable internet connection; your own laptop or desktop suitable for the role; a quiet working environment Requirements - Competitive contract rate based on experience - Opportunity to work on cutting-edge AI implementations with real business impact - High level of ownership and autonomy in shaping AI systems - Exposure to international clients and high-growth companies - Access to future opportunities - Contract-based role with competitive compensation based on experience - Flexible, fully remote working setup - Opportunity for ongoing work based on performance and impact

Develop state-of-the-art speech services, optimize ASR inference systems for production, and propose new model structures to enhance model accuracy and inference speed while ensuring scalability and high performance across deployment environments.

Description Vacancy Status: This posting is not for an existing vacancy within the organization and is open to new applications. AI Disclosure: As part of the application process, Artificial Intelligence will be used in the hiring process for this role Remote : This role is categorized as remote. This means the successful candidate may be based anywhere in Canada and is not expected to report to a GM worksite unless directed by their manager. About the Role: GM is looking to hire highly skilled and experienced Staff Software Engineers to join our team focused on developing cutting-edge AI agents. This role involves leading the design, development, and deployment of robust, scalable, and intelligent software agents that drive innovation across our products and services. The ideal candidate will have a deep understanding of AI/ML principles, distributed systems, and a track record of technical leadership. What You'll Do: - Lead the architecture and implementation of next-generation AI agents, from conceptualization to production deployment. - Drive technical direction and strategy for the AI agent platform, ensuring scalability, reliability, and performance. - Mentor and guide junior and senior engineers, fostering a culture of technical excellence and best practices. - Collaborate with Product Managers and other engineering teams to define requirements and deliver impactful solutions. - Conduct complex code reviews, system design reviews, and provide constructive feedback. - Identify and address technical debt, performance bottlenecks, and architectural challenges within the agent infrastructure. - Stay current with the latest advancements in AI, machine learning, and software engineering to continually improve our technology stack. Your Skills & Abilities (Required Qualifications): - Bachelor's degree in Computer Science, related technical field, or equivalent practical experience. - 8+ years of professional software development experience, with a focus on large-scale distributed systems or AI/ML infrastructure. - Expert proficiency in one or more programming languages such as Python, C++, Java, or Kotlin. - Extensive experience designing, building, and deploying production-grade AI/ML models or intelligent agents. - Demonstrated technical leadership in complex projects, including mentoring and driving cross-functional initiatives. What Will Give You a Competitive Edge (Preferred Qualifications) : - Master's or Ph.D. in Computer Science or a related quantitative field. - Deep expertise in specific AI agent technologies (e.g., Reinforcement Learning, Multi-Agent Systems, Large Language Models (LLMs)). - Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). - Proficient with Android development with a proven ability to design and deploy high performance applications. - Proven ability to communicate complex technical concepts effectively to both technical and non-technical audiences. - A strong portfolio of contributions to open-source projects or relevant publications. Compensation: The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE Benefits: The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave. - Healthcare, dental and vision benefits including health care spending account and wellness incentive. - Life insurance plans to cover you and your family. - Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement. - GM Vehicle Purchase Plan for you, your family, and friends. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Role Description The Innovation and AI Solutions Engineer position is part of the firm’s Innovation Department. This position will be responsible for developing, optimizing and growing the firm’s corpus of innovation and AI solutions for both practice and enterprise side use cases, as well as optimizing data collection and flows across these solutions. The role will support our attorneys and staff with software development, low/no-code solutions, and data initiatives. The Innovation and AI Solutions Engineer is a self-directed, people-oriented employee who is comfortable supporting the development and data needs of the organization, including clients, attorneys, practice groups and administrative teams. Essential Duties, Responsibilities - Support innovation projects by facilitating and participating in discussions, meetings with management and department groups, developing business processes, implementing data integrations and recommending best practices on the effective use of data and data analytics tools. - Build and maintain innovation and AI solutions alongside optimal data API and pipeline architectures. - Design, build and implement machine learning models, including the development of AI Models and prompts for various applications. - Collaborate with business users and technical teams to support and improve how data is collected, analyzed and reported throughout the organization. - Analyze users needs to determine business and data requirements, effectively applying technology to meet the firm’s strategic objectives. - Assemble and manage large, complex data sets that meet business and technical requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and improving infrastructure within assigned projects and data systems. - Build system infrastructure and processes for the efficient extraction, transformation, loading and integration of data to and from a wide variety of data sources using SQL, Power BI and Azure technologies. - Develop and/or apply analytics tools that utilize data pipelines to provide actionable insights into customer acquisition, operational efficiency, billing analytics, case outcomes, and other key business and legal practice performance metrics. - Ensure firm and client data security across multiple office locations, data centers, vendors and applications. - Develop data visualization and reporting tools to effectively convey meaningful insights from complex and diverse data sets. - Leverage statistics and computational techniques in problem solving. - Be familiar with common NLP and machine learning techniques. - Research and use applicable models in creative problem solving. - Work with GitHub and software version control. - Demonstrate the ability to efficiently and smartly document code and end-to-end processes. - Implement models in a production environment via custom API’s and enterprise solutions, such as Azure. Qualifications - Extensive experience and working knowledge with SQL and relational databases, including query authoring, database management, and creating/maintaining large data stores in SQL and cloud platforms such as Azure or AWS. - Experience building and optimizing API’s and data pipelines, architectures and data sets. - Strong analytic skills related to working with structured and unstructured datasets. - Ability to learn new tools and coding languages where required. - Ability to organize tasks and priorities under minimal supervision. - Experience performing root cause analysis on internal and external data, data integrations and processes to solve specific business problems and identify opportunities for improvement. - Experience developing processes that support data transformation, integrations, data structures, metadata, dependency and workflow management. - A successful history of manipulating, processing and extracting value from large, disconnected datasets. - Experience collaborating with cross-functional teams and stakeholders in a dynamic environment. - Ability to handle sensitive and confidential information responsibly. - Experience with AI/ML data preparation including feature engineering, data preprocessing, and dataset versioning for machine learning workflows. - Knowledge of data bias detection and mitigation techniques to ensure AI models are fair and representative across different legal contexts. - Experience with vector databases and embeddings for semantic search and retrieval-augmented generation (RAG) applications. Technological Proficiency - Expertise in applying the following technologies: SQL Server, T-SQL, SSIS & SSRS, Stored Procedures. - DataWarehousing experience - ETL & ELT. - PowerBI, Data Analysis Expressions (DAX). - Excel / PowerQuery. - Programming and scripting languages: Python, R, C++, Julia, Javascript, SQL. - API integration and development tools and scripting. - Extensive experience working with a variety of data file formats, such as JSON, XML, SQL. - Additional skills that would be highly advantageous include: PowerShell, Regular Expression (Regex), VBA, MS Access & Excel, Documentation & Process Mapping, Dynamic visualization tools, such as Microsoft Power BI, Tableau, Domo, etc. - Experience developing and applying machine learning models using Python, R, SQL and Azure Machine Learning. - Experience integrating legal industry, line-of-business applications, such as SharePoint, Aderant Financial System, Salesforce.com/CRM, NetDocs/DMS. - Large Language Model Integration: Experience with OpenAI API, Azure OpenAI, Anthropic Claude, or similar. - Embedding Models: Familiarity with sentence transformers, OpenAI embeddings, or domain-specific legal embeddings. - Law firm experience a plus. Requirements - 4+ years of experience in a Data Engineer/DataOps-DevOps role. - Bachelor's degree and/or graduate degree in Computer Science, Data Science, Data Analytics, Information Systems or equivalent discipline. - Experience with Microsoft SQL Server and related Microsoft data management and integration technologies. - Excellent verbal and written communication and interpersonal skills. Preferred - AI/ML Data Preparation Certification or equivalent coursework in machine learning data engineering. - Experience with legal technology platforms and understanding of legal workflow requirements. - Knowledge of data privacy regulations (GDPR, CCPA, HIPAA) as they apply to AI systems in legal contexts. Benefits - Employee discounts - 401k - Health insurance - Dental insurance - Paid time off - Vision insurance - Flexible schedule - Tuition reimbursement - Life insurance - Retirement plan - Referral program - Flexible spending account - Health savings account - Parental leave - Professional development assistance - Employee assistance program