Senior AI and ML Engineer

SvitlaSystems Inc. is looking foraSenior AI and ML Engineerfor a full-time position (40 hoursper week) inEurope. Our client is a leading expert network that provides business and government professionals with opportunities to communicate with industry and subject-matter experts to answer research questions. Customers consult with these experts over the phone and in person at conferences, teleconferences, custom events, and workshops.Their multinational customer list includes ninetop 10 consulting firms, hundreds of hedge funds, and many of the largest private equity firms and Fortune-ranked companies.We are seeking a Senior AI Engineer with hands-on experience in production-grade LLM systems, well beyond MVPs or proof-of-concept prototypes. The ideal candidate willpossessa deep understanding of modern AI infrastructure and LLM Ops, and extensive experience deploying and maintaining LLM-powered applications at scale in enterprise environments. It is a strategic, high-impact role for a technically strong, innovation-driven engineer who thrives on solving complex challenges in the generative AI space.You'lljoin the Toronto-based AI team. The Toronto Technology Hub serves as the base for the Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and responsible AI development. This strategic investment is integral to the company's vision for the future, aiming to developcutting-edgeGenerative AI and analytical capabilities that will underpin the Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring responsible AI integration and best-in-classMLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and otherstate-of-the-arttools acrossallthe client's products. The team thrives on solving problems and making users happier. As they work to achieve their mission of creating individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is tackling challenges to improve the internal application architecture and develop new AI-enabled products tooptimizeseamless service delivery.Requirements2+ years of experience working with LLM providers (OpenAI, Anthropic, Google Gemini), implementing RAG, hybrid search, and multi-agent architectures.Hands-on experience with agentic AI systems and relevant system design. GenAI experience (Agents, LLMs, RAG, etc ) and Backend Engineering (APIs/Microservices, Deployment, Data Engineering, etc).Demonstrated success delivering LLM-based systems in production environments (not limited to MVP or PoC).Strong understanding of retrieval-augmented generation, vector databases, and prompt engineering.Hands-on experience with LangChain, LlamaIndex, Pinecone, or equivalent frameworks.Practical experience implementing LLMOps, AI observability, and hallucination mitigation strategies.Experience creating or integrating AI agents within enterprise systems.Deep knowledge of Python, backend frameworks (FastAPI, Flask), and asynchronous programming.Experience with Docker, Kubernetes (AKS preferred), Helm, and cloud environments (Azure, AWS, or GCP).Familiarity with Databricks, Apache Spark, and large-scale data processing pipelines.Experience with LLM evaluation, MLflow, and performance/drift monitoring.Ability to mentor engineers and lead complex, distributed AI system builds.Nice to haveExperience with large-scale data integration and model deployment pipelines.Familiarity with AI safety, governance, and compliance frameworks.Exposure to enterprise AI adoption strategies and cross-functional collaboration.ResponsibilitiesDesign, build, and operate scalable, low-latency backend services and APIs powering Generative AI features — from retrieval-augmented generation (RAG) pipelines to multi-agent systems.Oversee the full lifecycle of AI-powered applications, including system design, development, CI/CD deployment, monitoring, and optimization in production environments such as Databricks and Azure Kubernetes Service (AKS).Continuously refine retrieval and generation performance using advanced retrieval optimization, re-ranking, chunking strategies, and prompt engineering for hallucination reduction.Develop solutions that combine LLMs with proprietary knowledge bases, external APIs, and real-time data streams, enabling sophisticated copilots and research assistants.Collaborate with AI and engineering teams to establish LLMOps best practices—including automated evaluation (LLM Judges, MLflow), AI observability, and system monitoring.Experiment with advanced prompting and interaction methods (e.g., Chain-of-Thought, ReAct) to enhance LLM performance, accuracy, and safety.Provide technical mentorship and leadership through code reviews, design discussions, and cross-functional collaboration to elevate overall engineering standards.Partner with product and business stakeholders to define AI priorities, translate user needs into technical requirements, and shape the evolution of AI offerings.We offerUS and EU projects based on advanced technologies.Competitive compensation based on skills and experience.Regular performance appraisals to support your growth.Flexibility in workspace, either remote or our welcoming office.Bonuses for article writing, public talks, and other activities.Generous time off, including vacation, national holidays, sick leaves, and family days.Personalized learning programs tailored to your interests and skill development.Free tech webinars and meetups organized by Svitla.Regular corporate online activities.Awesome team and a friendly, supportive communityAbout SvitlaSvitla Systems is a global digital solutions company headquartered in the U.S. and operating across the Americas, Europe, Asia, and APAC. Since 2003, we have served a wide range of clients — from innovative start-ups to Fortune 500 companies.Our success is built on partnership. By integrating seamlessly with clients’ teams, we create lasting collaborations that drive real results.We are strong advocates of workplace flexibility, remote culture, individual approach to professional and personal growth.Svitla is proud to be an equal opportunity employer. Allqualified applicants will receive consideration for cooperation without regard to age, gender identity, sexual orientation, religion, race, color, national origin, disability, or any other characteristic protected by applicable law.Our global mission is to build a business that contributes to wellbeing of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world.Together, we are coding a brighter tomorrow — and living it. #J-18808-Ljbffr