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

  • Build and contribute to RAG system components with increasing autonomy.
  • Write production code across AI, backend services, and data pipelines.
  • Develop tests and evaluation harnesses for AI features.
  • Integrate AI components into backend services and RESTful APIs.
  • Support containerized AWS deployments and CI/CD pipelines.
  • Evaluate models, investigate failure modes, and improve system performance.
  • Participate in technical discussions and architectural decisions.
  • Create documentation, runbooks, and client handover materials.
  • Take increasing ownership of system components and technical decisions.

Requirements

  • 2+ years of software or ML engineering experience, including exposure to production systems.
  • Hands-on experience building or contributing to RAG systems in production or near-production environments.
  • Proficiency in Python and/or TypeScript, with the ability to work in unfamiliar codebases.
  • Practical AWS experience with services such as Lambda, S3, or ECS; willingness to learn Bedrock and Bedrock AgentCore.
  • Experience with containers and CI/CD in real projects.
  • Experience evaluating non-deterministic systems and understanding model or agent monitoring concepts.
  • Practical experience using LLM APIs such as Anthropic, AWS Bedrock, or OpenAI.
  • Understanding of LLM cost and latency trade-offs and common AI/ML failure modes.
  • B2+ English proficiency and strong communication, problem-solving, and self-direction.
  • Preferred: experience in financial services, insurance, healthcare, consulting, Claude Code, AWS certifications, CI/CD tools, NLP, recommendation engines, Spark, Airflow, Kafka, MCP, or additional languages such as Go or Rust.

Benefits

  • Remote-friendly work in small, senior, forward-deployed teams.
  • Opportunities to shape enterprise AI deployments across North America, LATAM, and Europe.
  • Internal training, certification support, conference attendance, career development, and access to premium AI tools.
  • Private medical insurance or a medical-care budget.
  • Paid sick leave, vacation, and public holidays.
  • Equipment and technology provided for productive work.
  • Long-term B2B collaboration opportunities.

Interested in this position?

Apply directly on the company website

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