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.
  • Deploy containerized systems to AWS using CI/CD practices.
  • Support model evaluation and investigate system failure modes.
  • Contribute to documentation, runbooks, and client handover materials.
  • Participate in technical discussions and architectural decisions.
  • Gradually take ownership of components and technical decisions.

Requirements

  • 2+ years of software or ML engineering experience, including exposure to production systems.
  • Proficiency in Python and/or TypeScript and ability to work in unfamiliar codebases.
  • Hands-on experience building or contributing to RAG systems.
  • Practical experience with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI.
  • Practical AWS experience with services such as Lambda, S3, or ECS.
  • Experience with containers and CI/CD in real-world projects.
  • Experience contributing to evaluation or testing cycles for non-deterministic systems.
  • Understanding of AI/ML fundamentals, model failure modes, monitoring, and LLM cost-latency trade-offs.
  • B2+ English and strong communication, problem-solving, self-direction, and collaboration skills.
  • Preferred: experience with Claude Code, AWS or Claude certifications, customer-facing delivery, financial services, insurance, healthcare, NLP, recommendation engines, Go, Rust, Spark, Airflow, Kafka, MCP, or agent interoperability.

Benefits

  • Remote-friendly culture and distributed international teams.
  • Private medical insurance or a medical-care budget.
  • Paid sick leave, vacation, and public holidays.
  • Training and support for Claude, AWS, and other professional certifications, plus conference attendance.
  • Career development opportunities and access to internal training programs.
  • Access to current AI tools and premium subscriptions.
  • Equipment and technology provided for productive remote work.
  • Long-term B2B collaboration opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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