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

  • Embed with client teams for the duration of each engagement and work inside the client environment.
  • Spend time with end users before designing solutions so system architecture reflects real workflows.
  • Write production-grade Python for AI integrations, backend services, and RESTful APIs.
  • Design, build, and optimize RAG systems and agentic AI solutions running in production.
  • Own system design decisions across engagements, including architecture trade-offs and technology choices.
  • Lead the technical direction from discovery through delivery.
  • Serve as the client’s direct technical point of contact and present or defend architecture decisions.
  • Support presales work such as discovery calls, technical proposals, scoping, and client demos.
  • Lead architecture reviews, produce technical design documents, and contribute to internal Python standards.
  • Mentor engineers, lead code reviews, and share knowledge across the team.

Requirements

  • 7+ years of experience building and running production systems.
  • Hands-on production experience with RAG systems and LLM-based agentic workflows.
  • Backend development experience with Flask, Django REST, or FastAPI.
  • Recent hands-on AWS experience with services such as SageMaker, Bedrock, Lambda, ECS, S3, SQS, and ECR; GCP is also considered.
  • Experience with LLM APIs such as OpenAI, Anthropic Claude, or AWS Bedrock.
  • Strong Python proficiency, including OOP, design patterns, clean architecture, and performance optimization.
  • Experience making and defending system design and architectural trade-off decisions.
  • Comfort owning direct communication with client stakeholders.
  • Willingness to work closely with end users before designing solutions and comfort with underspecified engagements.
  • Strong testing practices, including pytest, mocking, and integration tests for AI systems.
  • Experience with Docker and Kubernetes.
  • Understanding of LLM evaluation techniques and quality assurance approaches.
  • Experience deploying and maintaining AI/ML models in production environments.
  • Experience using AI-assisted development tools such as Claude Code or Copilot in daily work.
  • Proactive, self-directed ownership of outcomes end to end.
  • B2+ English and comfort collaborating across distributed, multicultural teams.
  • Exposure to Financial Services or Healthcare and Life Sciences.
  • Presales experience, including cost estimation, cloud cost optimization, and scoped delivery plans.
  • Prior consulting, professional services, or embedded client-facing delivery experience.
  • Experience with React or Vue.
  • AWS or Claude Code certifications.
  • Experience with Streamlit or Gradio for AI prototyping.
  • Modern Python tooling such as ruff, uv, pyproject.toml, and pyright.
  • CI/CD pipeline experience with GitHub Actions or GitLab CI.
  • Experience in an additional language such as Go, Node.js, or Rust.

Benefits

  • Full ownership of production engagements.
  • Access to Provectus’s blueprint library built from shipped engagements.
  • Internal training programs with support for AWS and other professional certifications.
  • Clear career growth path toward Solutions Architect or beyond.
  • Access to the latest AI tools and premium subscriptions.
  • Long-term B2B collaboration.
  • Remote-first work within Europe with flexible hours.
  • Private medical insurance or a budget for medical needs.
  • Paid sick leave, vacation, and public holidays.
  • Equipment and technology needed for productive work.

Interested in this position?

Apply directly on the company website

Apply Now

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