Python Ai Engineer

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.#1093687315
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 Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.
At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.
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