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
501-1000
Founded 2010

Description

  • Embed with clients to understand and redesign real-world business workflows from first principles.
  • Develop working fluency in client domains such as insurance underwriting, healthcare revenue cycle, and asset flow.
  • Design, build, and deploy production GenAI, LLM, agentic AI, and RAG systems in customer environments.
  • Define evaluation criteria and build evaluation harnesses to guide system design and release decisions.
  • Write production code across AI applications, backend services, and data pipelines.
  • Deploy and hand over maintainable cloud-native systems using containers, CI/CD, automated testing, monitoring, and AWS or client-required cloud platforms.
  • Adapt industry AI Blueprints to each client and feed field learnings back into shared baseline solutions.
  • Lead architecture reviews, create technical design documents, contribute engineering standards, and mentor teammates.
  • Own technical direction for proposals and scoping, including phased delivery plans, estimates, dependencies, risks, and operating costs.
  • Drive customer adoption and change management while communicating technical solutions in terms of business outcomes.

Requirements

  • 7+ years of experience building and operating production systems.
  • Experience designing and shipping production LLM applications and agentic workflows, beyond demos, POCs, or notebooks.
  • Strong AI/ML fundamentals, including the ability to assess model behavior and failure modes.
  • Experience with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI, plus agent frameworks.
  • Production experience building and optimizing RAG systems.
  • Expertise in agentic orchestration, including multi-step or graph-based workflows, tool use, state management, and partial-failure recovery.
  • Strong engineering fundamentals and proficiency in Python and/or TypeScript.
  • Hands-on AWS production experience with services such as Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, and ECR; GCP or Azure experience is preferred.
  • Experience with cloud-native delivery, including containers, ECS or Kubernetes, infrastructure as code, and CI/CD for AI pipelines.
  • Experience building or owning evaluation suites for non-deterministic systems, including ground truth and release gates.
  • Knowledge of model and agent monitoring, drift detection, cost optimization, and latency management.
  • B2+ English and the ability to work proactively with ambiguity, senior stakeholders, and distributed multicultural teams.
  • Experience with Claude Code, CLAUDE.md, hooks, skills files, spec-driven development, MCP, or authored MCP servers is preferred.
  • Experience in financial services, insurance, healthcare, consulting, customer-facing delivery, leadership roles, AWS or Claude Code certifications, GitHub Actions/GitLab CI, Go, Rust, Apache Spark, Airflow, or Kafka is preferred.

Benefits

  • Remote-friendly work culture.
  • Internal training and support for Claude, AWS, and other professional certifications, plus conference attendance.
  • Career development opportunities and access to premium AI tools and subscriptions.
  • Long-term B2B collaboration.
  • Private medical insurance or a medical-needs budget.
  • Paid sick leave, vacation, and public holidays.
  • Company-provided equipment and technology for productive remote work.
  • Opportunity to build AI delivery tooling and frameworks while working with enterprise clients across LATAM, Europe, and North America.

Interested in this position?

Apply directly on the company website

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