Junior AI/ML Engineer (GenAI, AWS)

Provectus is an AWS Premier Partner and an Anthropic Strategic Partner working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications and managed services. We are looking for a Junior AI/ML Engineer to join our senior pods, where you will contribute to real delivery work while building toward independent ownership in a fully remote environment.

Key responsibilities

• Build and contribute to RAG system components under senior guidance with growing autonomy.
• Write production code across the stack, including AI, backend services, and data pipelines.
• Help integrate AI components into backend services and RESTful APIs.
• Support deployment of systems to AWS using containerized environments and CI/CD pipelines.
• Contribute to documentation, runbooks, and client handover materials while participating in architectural discussions.
• Support model evaluation efforts and investigate failure modes to improve system performance.

Requirements

• 2+ years of software or ML engineering experience with exposure to production systems.
• Hands-on experience building or contributing to RAG systems.
• Solid engineering fundamentals with proficiency in Python and/or TypeScript.
• Practical AWS experience and familiarity with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI.
• Strong problem-solving skills and the ability to work effectively in a distributed, multicultural team.
• Understanding of AI/ML foundations and common model failure modes.

What we offer

• The opportunity to shape how leading enterprises adopt AI from strategy through deployment.
• A collaborative environment working in small, senior teams.
• Internal training programs with support for AWS and Claude certifications.
• Access to the latest AI tools and premium subscriptions.
• Long-term B2B collaboration with private medical insurance and paid time off.
• All necessary equipment provided for a comfortable and productive remote workspace.