Lead AI Engineer
- Canada
Salary range: CA$150,000-CA$200,000. · Full-time
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Job details
- Pay
- Salary range: CA$150,000-CA$200,000.
- Job type
- Full-time
- Experience
- Experience: 7+ years of overall software engineering experience, with a proven track record of senior/lead autonomy
- Posting language
- English
- Posted
Original job description
You will be part of a small, elite team of hands-on engineers where everyone is exceptionally competent in their respective areas. If you thrive in an autonomous, low-formality startup environment with zero legacy code and a chance to directly shape and influence a cutting-edge product, this is the place for you.
Req# 1103687514
The recruiting efforts for this position are intended to fill an existing vacancy for a new position.
Responsibilities
- Architect and build next-generation AI-powered financial assistance workflows and bespoke chat/reporting interfaces
- Take high-level problem definitions, gather low-level requirements, anticipate edge cases, produce system designs, and deliver production implementations independently
- Integrate and optimize AI applications across quality, latency, reliability, and cost
- Ensure high standards for software quality, reliability, security, maintainability, and data privacy
- Leverage AI-assisted programming methods and coding agents while critically reviewing, testing, and validating AI-generated code
- Handle AI evaluation and quality engineering, including automated evaluations, test datasets, regression testing, failure analysis, and production monitoring
- Navigate AI security and production controls, including access control, prompt-injection risks, guardrails, and auditability
- Rapidly learn and adopt new technologies as the AI ecosystem evolves
- Experience: 7+ years of overall software engineering experience, with a proven track record of senior/lead autonomy
- Core Tech Stack: Strong proficiency in Python and/or React (TypeScript)
- Note: If your primary background is not Python, a strong desire and readiness to learn and master it quickly is required
- Cloud & Infrastructure: Experience with FastAPI (strongly desired), AWS, Kubernetes, and Terraform
- Frontend Knowledge (Big Plus): Experience with frontend development (TypeScript/JavaScript, React, Next.js, or Node)
- Proficiency with AI-assisted software development tools and coding agents
- Experience with AI evaluation, automated testing, regression testing, failure analysis, and production monitoring
- Strong understanding of AI security, data privacy, guardrails, and safe handling of sensitive information
- Ability to optimize applications for quality, latency, reliability, and cost
- Mindset: High autonomy, strong product judgment, and a low-formality, startup-ready attitude
- Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)
- Life and AD&D Insurance (Company Paid)
- Employee Assistance Program (Company Paid)
- Telehealth (Company Paid)
- Short-term Disability (Company Paid)
- Long-Term Disability
- Paid Time Off (including vacation and sick days)
- Registered Retirement Savings Plan (RRSP) with Company match
- Maternity/Parental/Adoption Leave Top-up
- Employee Stock Purchase Program
- Critical Illness Insurance
- Employee Discounts
- Unlimited access to LinkedIn learning solutions
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.
EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com 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.
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
More about this job
Responsibilities
Architect and deliver AI-powered financial workflows, chat interfaces, reporting systems, and bespoke tools for institutional clients. Optimize AI applications for quality, latency, reliability, and cost while ensuring software quality, security, privacy, evaluation, and production controls.
Requirements
Requires 7+ years of software engineering experience and senior-level autonomy, with strong proficiency in Python and/or React with TypeScript. Candidates should have experience with cloud infrastructure and AI-assisted development, evaluation, testing, monitoring, security, and privacy; FastAPI, AWS, Kubernetes, Terraform, and frontend development are also relevant.
Skills
- Python
- React
- TypeScript
- FastAPI
- AWS
- Kubernetes
- Terraform
- AI-Assisted Software Development
- AI Evaluation
- Automated Testing
- Regression Testing
- Production Monitoring
- AI Security
- Data Privacy
- Prompt-Injection Mitigation
- System Design
Benefits
- Extended Healthcare
- Prescription Drug Coverage
- Dental Insurance
- Vision Insurance
- Healthcare Spending Account
- Life Insurance
- Accidental Death and Dismemberment Insurance
- Employee Assistance Program
- Telehealth
- Short-Term Disability Insurance
- Long-Term Disability Insurance
- Paid Time Off
- Registered Retirement Savings Plan with Company Match
- Maternity, Parental, and Adoption Leave Top-Up
- Employee Stock Purchase Program
- Critical Illness Insurance
- Employee Discounts
- LinkedIn Learning Access
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Finance & Accounting
- Management & Leadership
Keywords
- Artificial Intelligence
- Financial Assistant Platform
- Financial Workflows
- Python
- React
- TypeScript
- FastAPI
- AWS
- Kubernetes
- Terraform
- Next.js
- Node.js
- AI-Assisted Programming
- Coding Agents
- AI Evaluation
- Automated Evaluations
- Test Datasets
- Regression Testing
- Failure Analysis
- Production Monitoring
- Prompt Injection
- Guardrails
- Access Control
- Auditability
- Data Privacy
- Latency Optimization
- Reliability
- Cost Optimization
- System Design
- Institutional Clients