Provectus

Provectus

Python/GenAI Solutions Architect (USA, Remote)

USA

Sponsorship not specifiedDetected 113 days ago
PythonReactNode.jsDjangoFastAPIBackend DevelopmentFull-Stack DevelopmentObject-Oriented ProgrammingCode ReviewGitSQLAWSGCPDockerCI/CDGitHub ActionsRESTMachine LearningLLMsRAGAgentic AILLMOpspytestLeadership

About the role

  • - Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs.
  • - Implement and optimize RAG systems for production use cases.

Responsibilities

  • Implement and optimize RAG systems for production use cases.
  • Design and build LLM-based and agentic AI solutions that address real client business challenges.
  • Own the technical direction of client engagements from discovery through delivery.
  • Support presales: discovery calls, technical proposals, scoping, and client-facing demos.
  • Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice.
  • Mentor engineers, lead code reviews, and share knowledge across the team.
  • Build and maintain strong relationships with key client stakeholders as a trusted technical advisor.
  • you own outcomes end-to-end and spot problems before they're handed to you.
  • Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you.
  • Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget.

Requirements

  • Experience with cost estimation and cloud architecture cost optimization.
  • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
  • Experience with Docker and Kubernetes.
  • Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock).
  • Experience deploying and maintaining AI/ML models in production environments.
  • Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar)
  • Experience with React/Vue.
  • Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization.

Nice to have

  • Experience with Streamlit or Gradio for AI prototyping.
  • Modern Python tooling (ruff, uv, pyproject.toml, pyright).
  • CI/CD pipeline experience (GitHub Actions, GitLab CI).
  • Experience in an additional language (Go, Node.js, or Rust).
  • Front-end experience.

Benefits

  • Unlimited Vacation policy.
  • Generous health, vision, and dental insurance.
  • Remote with flexible hours.
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This listing is sourced directly from Provectus's careers page and normalized into a canonical job model.