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Junior AI/ML Engineer (GenAI, AWS)

5 days, 22 hours ago
Poland, Serbia, Spain, Ukraine, Armenia
Full-time
Junior
Machine Learning Engineer
Software Development
Apache Airflow Apache Spark AWS CI/CD GitHub Actions GitLab CI Go Kafka Python REST API Rust TypeScript
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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
501-1000
Founded 2010
View All Jobs 16

Description

  • Build and enhance RAG system components under senior guidance, progressing toward independent ownership.
  • Write production code across AI components, backend services, and data pipelines.
  • Develop tests and evaluation harnesses for delivered features.
  • Integrate AI components with backend services and RESTful APIs.
  • Support containerized AWS deployments and CI/CD workflows.
  • Contribute to model evaluations, investigate failure modes, and improve system performance.
  • Create documentation, runbooks, and client handover materials.
  • Participate in technical and architectural discussions and take increasing ownership of 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 and solid software engineering fundamentals.
  • Practical experience with LLM APIs, such as Anthropic, AWS Bedrock, or OpenAI.
  • Experience with AWS services such as Lambda, S3, or ECS, with readiness to develop expertise in Bedrock and Bedrock AgentCore.
  • Experience with containers and CI/CD in real-world projects; GitHub Actions or GitLab CI experience is preferred.
  • Experience contributing to test or evaluation cycles for non-deterministic AI systems and familiarity with model/agent monitoring.
  • Understanding of LLM cost, latency, common failure modes, and AI/ML fundamentals.
  • B2+ English and the ability to communicate effectively in distributed, multicultural teams.
  • Experience in financial services, insurance, healthcare, consulting, or client-facing delivery is preferred.

Benefits

  • Remote-friendly work culture and long-term B2B collaboration.
  • Private medical insurance or a medical-needs budget.
  • Paid sick leave, vacation, and public holidays.
  • Internal training and full support for Claude, AWS, and other professional certifications.
  • Conference attendance and active career development support.
  • Access to premium AI tools and subscriptions.
  • Equipment and technology for comfortable, productive work.
  • Opportunity to work in small senior teams on enterprise AI deployments across LATAM, Europe, and North America.

Interested in this position?

Apply directly on the company website

Apply Now

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