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

  • Work directly with clients and the Forward Deployed Executive to understand the function from the inside and redesign it from first principles.
  • Reach working fluency in new domains such as insurance underwriting, healthcare revenue cycle, or asset flow.
  • Design and ship production GenAI systems in customer environments, including cloud-native, LLM-based, and agentic AI solutions.
  • Implement and optimize RAG systems for production use cases.
  • Build evaluation harnesses and define measurable success criteria before feature development begins.
  • Write production code across AI, backend services, and data pipelines.
  • Take systems to production on AWS, or GCP/Azure when required, with containers, CI/CD, automated testing, and monitoring.
  • Lead architecture reviews, produce technical design documents, contribute to standards, and mentor other engineers.
  • Own the technical direction of proposals and scoping, including adoption and change management.
  • Work as a pair with the FDX to deliver measurable business outcomes for the client.

Requirements

  • 7+ years building and running production systems.
  • Strong AI/ML foundations with the ability to reason about model behavior and failure modes.
  • Experience designing and shipping production LLM applications and agentic workflows, not demos or notebooks.
  • Experience with agentic orchestration, including multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure.
  • Experience with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI, and agent frameworks.
  • Experience building and optimizing RAG systems in production.
  • 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 is a plus.
  • Cloud-native delivery experience with containers, ECS or Kubernetes, IaC, and CI/CD for AI pipelines.
  • Experience building and owning eval suites for non-deterministic systems.
  • Experience with model and agent monitoring, drift detection, cost control, and latency optimization.
  • Hands-on production experience with the Claude ecosystem, including Claude Code, CLAUDE.md, hooks, and skills files; spec-driven development is a strong plus.
  • Ability to work proactively, handle ambiguity, collaborate across distributed multicultural teams, and communicate in B2+ English.
  • Ability to produce scoped delivery plans with deliverables, dependencies, risks, and cost estimates.
  • Experience in financial services, insurance, healthcare, consulting, or customer-facing embedded delivery is preferred.
  • AWS and Claude Code certifications, additional language experience, MCP, A2A, CI/CD tools like GitHub Actions or GitLab CI, and data tools like Spark, Airflow, or Kafka are nice to have.

Benefits

  • Remote-friendly culture.
  • Internal training programs with full support for Claude, AWS, and other professional certifications.
  • Conference attendance support.
  • Career growth and active engineering development.
  • Access to the latest AI tools and premium subscriptions.
  • Private medical insurance or a budget for medical needs.
  • Paid sick leave, vacation, and public holidays.
  • Equipment and all the tech needed for productive work.

Interested in this position?

Apply directly on the company website

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