Provectus
Provectus
Provectus is an artificial intelligence consultancy and solutions provider helping organizations apply AI to practical business and technical challenges. Its work combines use-case development with cloud-native AI platforms that are open, vendor-agnostic, and deployable in a customer’s own cloud environment without restrictive licensing. The company supports clients across consulting, solution customization, and managed AI services, with applications spanning retail, manufacturing, and healthcare. Provectus’s teams build turnkey AI solutions designed to support innovation, improve operational efficiency, and align technology with each organization’s objectives.

Junior AI/ML Engineer, Generative AI & AWS (Remote, Ukraine)

Join Provectus as a junior AI/ML engineer developing RAG systems, backend services, and AWS deployments. The company helps enterprises apply Claude and agentic AI to measurable business outcomes.

Description

  • Develop RAG system components with senior guidance while taking on greater autonomy
  • Create tests and contribute to evaluation harnesses
  • Develop production software across AI applications, backend services, and data pipelines
  • Connect AI capabilities with backend services and REST APIs
  • Help deploy containerized applications to AWS through CI/CD pipelines
  • Maintain documentation, runbooks, and materials for client handovers
  • Contribute to technical conversations and architecture decisions
  • Assist with model evaluation and analyze failure modes to improve system performance
  • Gradually assume ownership of components and technical decisions

Requirements

  • Take initiative and work independently, seeking clarity instead of waiting for assigned tickets
  • Communicate clearly and solve problems effectively
  • Work productively through ambiguity with guidance from senior colleagues
  • Communicate at B2+ English level within distributed, multicultural teams
  • Have practical experience building or contributing to RAG systems, preferably in production or near-production settings
  • Use Python and/or TypeScript effectively
  • Have practical AWS experience with services such as Lambda, S3, or ECS
  • Have worked with containers and CI/CD on real projects
  • Have exposure to evaluating non-deterministic systems and conducting test or evaluation cycles
  • Understand the fundamentals of model and agent monitoring
  • Recognize cost and latency trade-offs in LLM-based applications
  • Have practical experience using LLM APIs such as Anthropic, AWS Bedrock, or OpenAI
  • Bring at least two years of software or ML engineering experience, including exposure to production systems
  • Have solid AI/ML fundamentals and understand common model failure modes

Benefits

  • Work within a remote-friendly culture
  • Receive full support for internal training and Claude, AWS, and other professional certifications
  • Attend industry conferences
  • Pursue career growth through active engineer development
  • Use current AI tools and premium subscriptions
  • Engage in long-term B2B collaboration
  • Receive private medical insurance or a medical-care budget
  • Take paid sick leave, vacation, and public holidays
  • Get the equipment and technology needed for productive work

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