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.
  • Investigate model failure modes and contribute to evaluation efforts.
  • Participate in technical discussions and architectural decisions.
  • Create documentation, runbooks, and client handover materials.
  • Take increasing ownership of technical components and decisions.

Requirements

  • 2+ years of software or ML engineering experience, including exposure to production systems.
  • Hands-on experience building or contributing to RAG systems.
  • Proficiency in Python and/or TypeScript and 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 using LLM APIs such as Anthropic, AWS Bedrock, or OpenAI.
  • Exposure to evaluating non-deterministic systems and monitoring models or agents.
  • Understanding of LLM cost and latency trade-offs and common AI/ML failure modes.
  • B2+ English and strong communication and problem-solving skills for distributed, multicultural teams.
  • Preferred: Claude Code or AWS certifications, industry experience in financial services, insurance, or healthcare, and familiarity with tools such as GitHub Actions, Spark, Airflow, Kafka, MCP, or A2A.

Benefits

  • Remote-friendly culture and long-term B2B collaboration.
  • Work in small, senior forward-deployed teams with international enterprise clients.
  • Internal training and support for Claude, AWS, and other professional certifications.
  • 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.

Interested in this position?

Apply directly on the company website

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