Senior Research Engineer – AI, LLM & Cloud

Senior Research Engineer (AI / LLM / Cloud) – 12-Month Contract CompensationCompetitive compensation aligned to an annualized range of $127,000 – $225,000, based on experience, education, and expertise About the Opportunity Our client is seeking a Senior Research Engineer to join a cutting-edge research and development team focused on advancing cloud and AI technologies. This role offers the opportunity to work on next-generation AI systems, including LLM-powered agents, within a highly innovative and collaborative environment. About the Team The team is a Canada-based technical innovation group dedicated to building advanced cloud technologies and supporting their productization. Key focus areas include:Cloud-native databasesIntelligent SQL enginesAI and agent infrastructureLLM and agent evaluation technologiesThe team fosters a strong research culture and collaborates closely with industry experts to develop scalable, high-performance cloud platforms. Key ResponsibilitiesDesign and develop LLM-powered AI agents for cloud services, with a focus on orchestration, robustness, and platform integrationTranslate advanced research concepts into production-ready code and scalable AI applicationsCollaborate with AI researchers and cloud engineers to design, implement, and evaluate intelligent systemsImprove performance, reliability, and stability of agent-based workflows through rigorous testing and evaluationContribute to applied research initiatives, including opportunities to publish and patent innovations QualificationsMaster’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field Industry experience is considered an asset for PhD candidatesStrong programming skills in Python with hands-on experience using PyTorchDeep understanding of: Transformer architecturesGenerative AI techniques (e.g., fine-tuning, PEFT) Technical Skills & ExperienceExperience designing and implementing advanced orchestration frameworks such as: State machinesDirected acyclic graphs (DAGs)Multi-agent systemsAbility to develop evaluation and benchmarking frameworks for AI agents, including: Trajectory analysisLLM-based evaluation methods (e.g., “LLM-as-a-judge”)Custom reliability metrics Nice-to-HaveExperience with AI agent evaluation, observability, or monitoring toolsStrong ability to translate complex research concepts into clean, maintainable production code Soft SkillsStrong communication skills with the ability to collaborate effectively across teamsSelf-driven with the ability to work independently on research initiativesTeam-oriented mindset with a focus on shared success Only those who are qualified will be contacted This posting is for an existing vacancy and is intended to fill a current open position. Additional Information Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements. We use AI technology as part of our application review process to assist in screening and assessment. All applications are also reviewed by our recruitment team. How to Apply: If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson values diversity and is committed to creating an inclusive workplace. We invite all qualified individuals to apply. Robertson is an equal opportunity employer committed to diversity and inclusion. We are a certified diverse supplier and actively seek to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. Join us in building a diverse and inclusive environment.