Mid-Level Full Stack Developer

Careers at EverWorker

Mid-Level Full Stack Developer

Bucharest, Romania or remote

About The Role As a Mid-Level Full Stack Developer, you’ll work under the guidance of senior engineers to build and maintain web applications in React and Meteor. You’ll contribute to both front- and back-end components, modeling data in MongoDB, implementing server logic in Node.js/TypeScript, and integrating AI/ML features at a basic level. You’ll be responsible for delivering individual user stories end-to-end, with growing autonomy and occasional cross-project support. Familiarity with modern tooling and a willingness to learn are key.

Key Responsibilities

• Feature Implementation: Contribute to the design and coding of features in React and Meteor, following patterns and abstractions defined by seniors.
• Meteor Fundamentals: Implement publications, methods, and routing in Meteor; collaborate on client/server data flows (pub/sub).
• Data Modeling: Design and maintain MongoDB schemas and indexes; assist with simple aggregation queries.
• AI/ML Support: Integrate basic LLM calls and embedding pipelines; work on RAG endpoints under mentorship.
• API & Services: Develop RESTful endpoints and simple plugins in Node.js/TypeScript and Python; follow established standards.
• Testing & Reviews: Write unit and integration tests (Jest, Mocha); participate in PR reviews and adhere to linting rules.
• Debugging: Use Chrome DevTools and VS Code to troubleshoot front-end issues; log and debug basic server errors.
• Collaboration: Pair-program with senior developers, attend stand-ups, and update tickets with clear status.

Required Qualifications

• Bachelor's degree in computer science, Engineering, or related field
• 2–4 years of full-stack experience, including at least 1–2 years with React and Meteor
• Hands-on with JavaScript/TypeScript, Node.js, and basic Python or Bash scripting
• Experience modeling data in MongoDB (collections, indexes, simple aggregations)
• Basic familiarity with LLM concepts, RAG memory patterns, or vector lookups
• Comfortable using Git (branching, PRs) and working within a CI workflow
• Solid debugging skills in browser and IDE environments

Preferred Qualifications

• Exposure to containerization (Docker) and orchestration (Kubernetes)
• Some experience with AWS services (Lambda, S3, EC2) or another cloud platform
• Familiarity with CI/CD pipelines and Infrastructure as Code tools (Terraform, Pulumi)
• Any hands-on with graph databases or basic vector stores

Apply for this role

Tell us a bit about you — we read every application.

Autonomous AI workers that research, reach out, and book meetings, so your team generates more pipeline.

Product

• Platform
• Integrations
• Security
• Pricing

Solutions

• Inbound
• Outbound

Company

• About
• Careers
• Contact

© 2026 EverWorker. All rights reserved.

PrivacyTermsCookie PolicyMSA