Python Platform Engineer

We are seeking a skilled Python Platform Engineer to operate and evolve the core infrastructure powering our enterprise knowledge base platform. As we transition from a Confluence-focused RAG chatbot into a highly advanced, multi-source agentic knowledge system, you will play a pivotal role in designing and scaling our AI backend.

Today, our platform handles automated ingestion (from sources like internal wikis and code repositories) chunking pgvector storage RAG retrieval FastAPI serving. In this next phase, you will help us towards hybrid retrieval (combining vector, sparse, and graph search), multi-source ingestion pipelines, robust evaluation frameworks, and scalable agent infrastructure.

Req.#1050282307

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

Responsibilities

Architect and implement highly performant backend services using Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and asyncpg

Design critical retrieval trade-offs optimizing for quality, latency, operational cost, safety, and simplicity

Build production-grade agent runtime capabilities including memory boundaries, tool sandboxing, granular permissions, and cost/budget controls

Improve answer grounding, failure analysis, and citation enforcement (prioritizing robust production behavior over simple demo-only features)

Create production-grade observability and feedback loops utilizing OpenTelemetry, Prometheus, Grafana, Docker, Helm, and GitHub Actions

Partner closely with product and engineering teams to support multiple conversational surfaces through a unified knowledge platform

Overhaul ingestion pipelines, manage AI workload profiles (handling latency, throughput, and failovers), and implement release workflows that validate complex AI behavior

Requirements

Strong, hands-on experience developing in Python within platform, automation, or infrastructure-heavy environments

Proven experience building CLI tools utilizing Python, Golang, or Rust

Deep experience working with LangGraph, LangChain, pgvector, and modern RAG/retrieval pipelines

Experience designing and implementation-level knowledge of evaluation frameworks for LLM-backed systems (including regression detection and quality benchmarking)

Strong experience with Docker, Helm, GitHub Actions, and Kubernetes-oriented container orchestrations

Solid understanding of the operational characteristics, scaling bottlenecks, and cost profiles of embedding pipelines, vector search, and LLM providers

Strong observability skills spanning metrics, tracing, alerting, dashboarding, and log analysis

Experience managing ingestion, ETL, or large-scale content processing pipelines

Nice to have

Experience with specialized vector or graph infrastructure (e.g., Qdrant, Neo4j)

Past experience supporting search platforms, RAG systems, or agent-based platforms in enterprise or highly regulated environments

Familiarity with enterprise-grade tooling (e.g., Vault, Splunk, Artifactory, ECR)

Comfort leveraging modern AI-assisted engineering tools (Copilot, etc.) to enhance your day-to-day coding workflow

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 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$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 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.

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.