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ES

Senior AI Platform Engineer

EPAM Systems
๐Ÿ‡ง๐Ÿ‡ท Brazil | ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico | ๐Ÿ‡จ๐Ÿ‡ด Colombia
Remote
Senior
1 day ago
  • AI
  • Python
  • Machine Learning
  • GCP
  • RAG
  • Vector Search
  • ADK
  • Devops
  • Terraform
  • CI/CD
  • Jenkins
  • Docker
  • Vertex AI
  • FastAPI
  • Pydantic
  • pytest
  • Kubernetes
  • MLOps
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We are seeking aSenior AI Platform Engineer to build Python SDKs and platform frameworks that enable teams to develop, deploy, and scale agentic and GenAI solutions on Google Cloud. You will shape developer-facing APIs, reliability standards, and production guardrails.

Responsibilities

  • Design Python SDKs, ADKs, and platform libraries for agentic and GenAI development
  • Build core frameworks, abstractions, and tooling for AI agents, copilots, and GenAI applications
  • Define SDK architecture, developer APIs, and integrations with LLMs and enterprise systems
  • Develop reusable RAG components, retrieval building blocks, and prompt engineering primitives
  • Design retrieval patterns using vector search and graph-native data sources for relationship-aware context
  • Create clear documentation, samples, and reference implementations to drive SDK/ADK adoption
  • Collaborate with Cloud and DevOps partners to package, distribute, and deploy components on GCP using Terraform
  • Establish versioning, testing, benchmarking, and quality gates for SDK releases
  • Implement guardrails and safety controls for production LLM and agent traffic
  • Improve CI/CD workflows and release automation with Jenkins and Docker

Requirements

  • 3+ years of Python experience building libraries, SDKs, or frameworks
  • 2+ years of agentic AI experience building and orchestrating AI agents (including 1.5โ€“2 years hands-on)
  • Senior-level technical leadership skills to drive architecture decisions and mentor engineers
  • Production delivery experience deploying agent-based or AI applications at scale
  • Strong GCP Vertex AI experience for model serving and orchestration
  • Strong API engineering skills with FastAPI and async-first REST design
  • Strong infrastructure automation skills with Terraform, Docker, and Jenkins CI/CD
  • Strong Python engineering skills with asyncio, type hints, dataclasses, Pydantic, and pytest
  • Strong observability skills with structured logging, distributed tracing, and telemetry tools
  • Strong problem-solving skills and API/framework design mindset
  • Upper-Intermediate English skills (B2) for daily collaboration and documentation

Nice to have

  • Google Agent Development Kit
  • Google Cloud Platform
  • AI Solution Engineering
  • Kubernetes
  • MLOps

Senior AI Platform Engineer ยท EPAM Systems

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