Join a cutting-edge initiative within the Digital Channel division of one of the world’s largest asset management firms. This role focuses on enhancing Generative AI–powered applications and driving experimentation across emerging AI capabilities. You’ll work on enterprise-scale AI solutions that serve millions of end users, leveraging the latest advancements in LLMs, multimodal AI, and agentic architectures.
Why Join Us?
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Be part of a global leader in asset management
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Work on enterprise-scale Generative AI applications with real-world impact
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Innovate at the forefront of AI technologies, including LLMs, multimodal AI, and agentic architectures
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Collaborate within a completely cloud-native environment with a strong Google Cloud and enterprise AI focus
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Take ownership of projects from experimentation and prototyping to production deployment
Req: 1033174174
Responsibilities
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Implement and optimize voice-enabled features using multimodal LLMs or third-party services (e.g., ElevenLabs, Whisper, Google Speech APIs)
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Design and build memory architectures for session-based, short-term, and long-term memory (e.g., RAG pipelines, vector stores, conversation buffers)
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Experiment with Google enterprise AI offerings (e.g., GECX and related services) to assess their suitability for production workloads
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Contribute to rapid prototyping, proof-of-concept development, and technical evaluations in a fast-paced, exploratory environment
Requirements
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Strong programming skills in Python (primary); experience in Java/TypeScript is a plus Solid understanding of data structures, algorithms, and software engineering fundamentals Experience building production-grade APIs and services (REST, async, scalable patterns) Familiarity with Git, CI/CD pipelines, and Agile delivery methodologies
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Hands-on experience with LLMs (e.g., prompt engineering, embeddings, summarization, Q&A) Proficiency with ML frameworks such as PyTorch, TensorFlow, or equivalent Understanding of model evaluation, performance metrics, and error analysis Experience fine-tuning, orchestrating, or integrating foundation models (vendor or open-source)
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Experience with Retrieval-Augmented Generation (RAG) design and implementation Proficiency with vector databases/search (e.g., embeddings, similarity search, metadata filtering) Knowledge of ingestion pipelines for structured and unstructured data Familiarity with tool/function calling and agent-style workflows
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Cloud-native development experience on AWS, Azure, or GCP (Google Cloud preferred) Proficiency with containers and orchestration tools (e.g., Docker, Kubernetes) Experience with event-driven and distributed systems Observability expertise: logging, metrics, tracing, and model monitoring
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Understanding of Responsible AI principles, including privacy, bias, explainability, and safety Experience working with enterprise controls: security reviews, data protection, and compliance Familiarity with model risk management, auditability, and guardrails Ability to operationalize AI safely in regulated environments
We offer
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Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)
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Life and AD&D Insurance (Company Paid)
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Employee Assistance Program (Company Paid)
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Telehealth (Company Paid)
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Short-term Disability (Company Paid)
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Long-Term Disability
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Paid Time Off (including vacation and sick days)
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Registered Retirement Savings Plan (RRSP) with Company match
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Maternity/Parental/Adoption Leave Top-up
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Employee Stock Purchase Program
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Critical Illness Insurance
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Employee Discounts
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Unlimited access to LinkedIn learning solutions
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
This posting includes a salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training, the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: CA$150,000-CA$160,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.
EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [email protected] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.
An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.
