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, redesign, and improve operational 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 solutions in customer environments.
  • Create evaluation harnesses, define success criteria, and use evaluation results to guide system design and releases.
  • Write production code across AI applications, backend services, and data pipelines.
  • Deploy maintainable cloud-native systems using containers, CI/CD, automated testing, monitoring, and handover processes.
  • Adapt industry AI Blueprints to each client and incorporate field learnings into future blueprint improvements.
  • Lead architecture reviews, create technical design documents, contribute to engineering standards, and mentor teammates.
  • Own technical proposals, scoping, delivery plans, adoption, and change-management activities with the Forward Deployed Executive.
  • Present technical solutions and business outcomes credibly to client engineers, executives, and senior stakeholders.

Requirements

  • 7+ years of experience building and operating production systems.
  • Experience designing and shipping production LLM applications and agentic workflows, beyond demos or proofs of concept.
  • Strong AI/ML foundations, including the ability to assess model limitations and failure modes.
  • Experience with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI and agent frameworks.
  • Production experience building and optimizing RAG systems.
  • Knowledge of agentic orchestration, including multi-step and graph-based workflows, tool use, state management, and partial-failure recovery.
  • Proficiency in Python and/or TypeScript, with the ability to work effectively in unfamiliar codebases or languages.
  • 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 delivering cloud-native AI systems with containers, ECS or Kubernetes, infrastructure as code, CI/CD, automated testing, and monitoring.
  • Experience building or owning evaluation suites for non-deterministic systems, including ground-truth creation and release gates.
  • Experience with model and agent monitoring, drift detection, cost optimization, latency management, model tiering, and caching.
  • B2+ English and comfort collaborating with distributed, multicultural teams.
  • Ability to scope phased delivery plans, estimate build and operating costs, and communicate risks and dependencies to senior stakeholders.
  • Experience with Claude Code, CLAUDE.md, hooks, skills files, MCP, consulting or embedded client delivery, or financial services, insurance, healthcare, GitHub Actions, GitLab CI, Go, Rust, 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 within a growing AI delivery practice.
  • Access to the latest AI tools and premium subscriptions.
  • Long-term B2B collaboration.
  • Private medical insurance or a medical-needs budget.
  • Paid sick leave, vacation, and public holidays.
  • Equipment and technology for comfortable, productive work.

Interested in this position?

Apply directly on the company website

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