We are hiring a Python AI Engineer to operate and evolve the infrastructure behind an enterprise knowledge base platform as it transitions from a Confluence-focused RAG chatbot into a broader, agentic knowledge system.

Today, our platform supports Confluence/GitHub ingestion chunking pgvector RAG retrieval FastAPI serving. In our next growth phase, we are expanding toward hybrid retrieval (vector + sparse + graph), multi-source ingestion, robust evaluation pipelines, agent infrastructure, and shared chat platform primitives.

If you are passionate about building scalable, reliable, and production-grade AI infrastructure rather than just chasing demo behavior, we want to hear from you.

Req.#(phone hidden)

The recruiting efforts for this position are intended to fill an existing vacancy for a new position.

Responsibilities

- Architect and implement robust backend services using Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and asyncpg
- Design trade-offs around retrieval quality, latency, cost, safety, and operational simplicity
- Build production-grade agent runtime capabilities, including memory boundaries, tool sandboxing, permissions, and budget controls
- Improve answer grounding, failure analysis, and citation enforcement for enterprise-grade dependability
- Create comprehensive observability and operational feedback loops using OpenTelemetry, Prometheus/Grafana, Docker/Helm, and GitHub Actions
- Ingestion infrastructure across current and future content sources
- Full-stack observability across application, pipeline, database, and model-serving behavior
- Cost, latency, throughput, and failure-mode management for AI-heavy workloads
- Release workflows that validate AI behavior changes, not just code compilation
- Partner closely with product and engineering teams to support multiple conversational surfaces through a unified knowledge platform

Requirements

- Strong, hands-on Python experience in platform, automation, or infrastructure-heavy environments
- Experience building CLI tools using Python, Golang, or Rust
- Hands-on experience with LangGraph, LangChain, pgvector, and modern retrieval pipelines
- Experience designing evaluation frameworks for LLM-backed systems, including regression detection and quality measurement
- Strong experience with Docker, Helm, GitHub Actions,



and Kubernetes-oriented workflows
- Systems Understanding: Familiarity with the operational characteristics of embedding pipelines, vector search, and LLM-backed systems
- Strong skills across metrics, tracing, dashboards, alerting, and log analysis
- Experience with ingestion, ETL, or content-processing pipelines at scale
- An innate ability to think in terms of reliability, cost, latency, throughput, and disaster recovery

Nice to have

- Experience with Qdrant, Neo4j, or other vector/graph infrastructure
- Prior experience supporting RAG, search, evaluation, or agent platforms
- Background in enterprise or highly regulated environments
- Familiarity with enterprise tooling such as Vault, Splunk, Artifactory, or ECR
- Comfort leveraging AI-assisted engineering workflows in day-to-day work

We offer

- 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

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 cutting-edge 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$130,000-CA$150,000. 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.

📌 Python AI Engineer (Canada)
🏢 EPAM Systems
📍 Canada