Junior AI/ML Engineer, GenAI, AWS
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Job Description
Junior AI/ML Engineer building RAG systems, backend services, and AWS deployments. Provectus helps enterprises apply Claude and agentic AI to measurable business outcomes.
Responsibilities:
- Build and contribute to RAG system components under senior guidance, with growing autonomy
- Write tests and help build evaluation harnesses
- Write production code across AI, backend services, and data pipelines
- Integrate AI components into backend services and RESTful APIs
- Support deployment of containerized systems to AWS using CI/CD
- Contribute to documentation, runbooks, and client handover materials
- Participate in technical discussions and architectural decisions
- Support model evaluation and investigate and improve failure modes
- Take increasing ownership of components and technical decisions
Requirements:
- Proactive and self-directed; push for clarity rather than waiting for a ticket
- Excellent communication and problem-solving skills
- Comfortable with some ambiguity, with support from senior team members
- B2+ English, comfortable collaborating across distributed, multicultural teams
- Hands-on experience building or contributing to RAG systems, ideally in production or near-production
- Python and/or TypeScript proficiency
- Practical AWS experience, such as Lambda, S3, or ECS
- Some experience with containers and CI/CD in real projects
- Exposure to evaluating non-deterministic systems and running test/evaluation cycles
- Basic working knowledge of model/agent monitoring concepts
- Awareness of cost and latency trade-offs when working with LLMs
- Practical experience with LLM APIs, including Anthropic, AWS Bedrock, or OpenAI
- 2+ years of software or ML engineering experience, including exposure to production systems
- Solid AI/ML foundations and understanding of common model failure modes
Benefits:
- Remote-friendly culture
- Internal training programs with full support for Claude, AWS, and other professional certifications
- Conference attendance
- Career growth and active engineer development
- Access to the latest AI tools and premium subscriptions
- Long-term B2B collaboration
- Private medical insurance or a budget for medical needs
- Paid sick leave, vacation, and public holidays
- Equipment and all the tech needed for comfortable, productive work
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