Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010

Description

  • Write production-grade Python for AI integrations, backend services, and RESTful APIs.
  • Implement and optimize RAG systems for production use cases.
  • Design and build LLM-based and agentic AI solutions for client business challenges.
  • Own the technical direction of client engagements from discovery through delivery.
  • Support presales activities including discovery calls, technical proposals, scoping, and client-facing demos.
  • Lead architecture reviews, produce technical design documents, and contribute to Python practice standards.
  • Mentor engineers, lead code reviews, and share knowledge across the team.
  • Build and maintain trusted relationships with client stakeholders as a technical advisor.

Requirements

  • 7+ years of experience building and running production systems.
  • Strong Python proficiency, including OOP, design patterns, clean architecture, and performance optimization.
  • Experience building RESTful APIs with FastAPI, Django REST, or Flask.
  • Hands-on experience with production LLM-based applications and agentic workflows.
  • Experience with LLM APIs such as OpenAI, Anthropic, or AWS Bedrock.
  • Experience building and optimizing RAG systems.
  • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
  • Experience with Docker and Kubernetes.
  • Hands-on experience with AWS services such as SageMaker, Bedrock, Lambda, ECS, S3, SQS, and ECR; GCP is considered.
  • B2+ English and comfort collaborating across distributed, multicultural teams.
  • Experience making architectural trade-off decisions, cost estimation, and cloud architecture cost optimization.
  • Experience with React or Vue.
  • AWS and Claude Code certifications.
  • Experience with Streamlit or Gradio for AI prototyping (nice to have).
  • Modern Python tooling such as ruff, uv, pyproject.toml, and pyright (nice to have).
  • CI/CD pipeline experience with GitHub Actions or GitLab CI (nice to have).
  • Experience in an additional language such as Go, Node.js, or Rust (nice to have).
  • Front-end experience (nice to have).

Benefits

  • Remote work with flexible hours.
  • Unlimited vacation policy.
  • Generous health, vision, and dental insurance.
  • 401(k) matching plan.
  • Internal training programs, including leadership and public speaking, with support for AWS and other professional certifications.
  • Career growth path toward Solutions Architect roles and beyond.
  • Access to the latest AI tools and premium subscriptions.

Interested in this position?

Apply directly on the company website

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