ResponsibilitiesBuild and maintain scalable batch and streaming data pipelines for ingestion, transformation and curationDesign and optimize data models, feature stores and storage patterns for AI/ML workloadsImplement DataOps and MLOps automation, including CI/CD, data validation, model deployment, monitoring and drift detectionDesign, build and optimize agentic AI systems and LLM‑powered applications, RAG pipelines and agent orchestrationDevelop and integrate AI services into secure, production‑grade environmentsDesign and implement AI systems architecture best practices and standards across the organizationBuild scalable, resilient cloud and on‑premise systems for hosting AI/LLM applicationsProvide infrastructure design, optimization and monitoring supportTranslate business requirements into technical solutions through cross‑functional collaborationEnsure code quality, system reliability, scalability and observabilityExpectations Advanced Python proficiency with strong software engineering fundamentals, version control, testing and code reviews.Proficiency in SQL and distributed computing (Spark, distributed systems).Deep experience with data modeling and feature engineering across the ML lifecycle.Hands‑on experience building LLM applications, RAG pipelines and agentic AI frameworks (LangChain, LangGraph preferred).Expertise designing distributed systems at enterprise scale.Strong CI/CD and DevOps knowledge (GitHub, GitHub Actions, Docker, Kubernetes).Experience with event streaming platforms (Kafka).Demonstrated ability to design and deploy hybrid cloud and on‑premises systems (AWS,



Azure).Excellent collaboration and communication skills across engineering, research and product teams.Self‑directed problem‑solving mindset and ability to navigate enterprise complexity.Masters degree in Computer Science, Software Engineering or related field with 5 years in data/software/ML/AI engineering preferred.UI development expertise with React and JavaScript a plus.Compensation The base compensation range for this role in the posted location is: 70,000 to 91,000.The company provides compensation range information in accordance with applicable national, state, provincial, and local pay‑transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation the company, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: geographic location, education and qualifications, certifications and licenses, relevant experience and skills, seniority and performance, market and business consideration,



internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.BenefitsPaid time off based on employee grade (A‑F): Vacation 12–25 days, Company paid holidays, Personal Days, Sick LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.G., 401(k) in the U.S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityEqual Chance Employment The company is an Equal Opportunity Employer encouraging inclusion in the workplace. The company also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program, supporting meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.Interview Process Disclosures Please be aware that the company may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.#J-18808-Ljbffr

📌 Ai Engineer / Developer - $70,000 - $91,000 A Year (Toronto)
🏢 United States Digital Space
📍 Toronto