Senior Conference Event Manager
One10
Lead complex conferences and meetings for One10 clients, overseeing budgets, vendors, schedules, teams, and end-to-end delivery.
Open
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, GenAI and AWS – Remote Ukraine
Join Provectus as a junior AI/ML engineer developing RAG systems, AI services, and AWS deployments. You will contribute to evaluations, APIs, and production delivery while working under senior guidance.
Description
- Develop RAG system components with senior guidance while building increasing independence
- Create tests and contribute to evaluation harnesses
- Deliver production code across AI applications, backend services, and data pipelines
- Connect AI capabilities to backend services and REST APIs
- Help deploy containerized applications to AWS through CI/CD pipelines
- Prepare documentation, runbooks, and materials for client handover
- Contribute to engineering discussions and architecture decisions
- Evaluate models, investigate failure modes, and help improve system performance
- Gradually take ownership of components and related technical decisions
Requirements
- Take initiative, work independently, and seek clarity instead of waiting for assigned tickets
- Communicate clearly and apply strong problem-solving skills
- Work effectively with some ambiguity while receiving support from senior engineers
- Have B2+ English proficiency and collaborate comfortably with distributed, multicultural teams
- Bring hands-on experience building or contributing to RAG systems, preferably in production or near-production environments
- Demonstrate sound engineering fundamentals and proficiency in Python and/or TypeScript
- Become productive in unfamiliar codebases with reasonable onboarding support
- Have practical AWS experience with services such as Lambda, S3, or ECS
- Be prepared to develop expertise in Amazon Bedrock and Bedrock AgentCore
- Have project experience with containers and CI/CD
- Understand the evaluation of non-deterministic systems and iterative testing cycles
- Have basic working knowledge of model and agent monitoring
- Recognize cost and latency trade-offs in LLM-based systems
- Have used LLM APIs such as Anthropic, AWS Bedrock, or OpenAI in real projects
- Have at least two years of software or ML engineering experience, including exposure to production systems
- Have solid AI/ML fundamentals and an understanding of common model failure modes
Benefits
- Work in a remote-friendly environment
- Receive support for internal training and professional certifications in Claude, AWS, and related technologies
- Attend industry conferences
- Pursue career growth through active engineer development
- Use current AI tools and premium subscriptions
- Engage in a long-term B2B collaboration
- Receive private medical insurance or a medical-care budget
- Take paid sick leave, vacation, and public holidays
- Receive the equipment and technology needed for comfortable, productive work
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