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

  • Design and build LLM-based, agentic AI, RAG, backend, and RESTful API solutions.
  • Own technical direction for client engagements from discovery through delivery.
  • Lead client discovery, requirements decomposition, technical proposals, scoping, and demonstrations.
  • Develop phased delivery plans with deliverables, dependencies, risks, and cost considerations.
  • Lead architecture reviews and document technical designs and architectural standards.
  • Make and defend trade-off decisions across architectural patterns, databases, and integration approaches.
  • Write clean, production-grade Python and optimize AI integrations and backend services.
  • Mentor engineers, lead code reviews, and share technical knowledge across the team.
  • Build trusted relationships with client stakeholders as a technical advisor.

Requirements

  • 7+ years of experience building and operating production systems.
  • Strong Python proficiency, including object-oriented programming, design patterns, clean architecture, and performance optimization.
  • Experience building RESTful APIs with FastAPI, Django REST, or Flask.
  • Strong understanding of AI/ML concepts and production AI/ML model deployment.
  • Hands-on experience building LLM applications, agentic workflows, and RAG systems.
  • Experience with LLM APIs such as OpenAI, Anthropic, or AWS Bedrock, including LLM evaluation and quality assurance.
  • Experience with Docker, Kubernetes, testing with pytest, mocking, and integration testing.
  • Hands-on AWS experience with services such as SageMaker, Bedrock, Lambda, ECS, S3, SQS, or ECR; GCP experience is a plus.
  • Experience with React or Vue and a full-stack approach across AI, backend, and cloud infrastructure.
  • Experience with client discovery, solution architecture, cost estimation, and cloud cost optimization.
  • B2+ English proficiency and ability to collaborate across distributed, multicultural teams.
  • Preferred: Streamlit or Gradio, modern Python tooling, CI/CD, Go/Node.js/Rust, front-end development, and AWS or Claude Code certifications.

Benefits

  • Remote work with flexible hours.
  • Private medical insurance or a medical expense budget.
  • Paid sick leave, vacation, and public holidays.
  • Internal leadership and public-speaking training with support for AWS and other professional certifications.
  • Career growth path toward Solutions Architect and beyond.
  • Access to current AI tools and premium subscriptions.
  • Long-term B2B collaboration.
  • Company-provided equipment and technology.

Interested in this position?

Apply directly on the company website

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