Software Engineer – AI-Assisted Full-Stack Development

Overview

DataMundi is seeking an experienced Software Engineer for AI-assisted full-stack development. This is a remote contractor role, open to candidates located within the EU or in an EU-compatible time zone (within 1–2 hours). The work centers on designing, building, testing, deploying, and maintaining reliable software while using Claude Code or a similar AI coding agent as part of the daily engineering workflow.

What You'll Do

• Design, develop, and maintain scalable web applications using Python, FastAPI, React, JavaScript or TypeScript, and Node.js.
• Build REST or GraphQL APIs, including schemas, resolvers, authentication, authorization, validation, and error handling as needed.
• Use Claude Code or a comparable AI coding agent to speed up development while preserving code quality, security, test coverage, and maintainability.
• Work with SQL and NoSQL databases, including data modeling, migrations, query optimization, and performance troubleshooting.
• Use message queues such as RabbitMQ for asynchronous processing, background jobs, and parallel workloads.
• Investigate and resolve complex bugs, production issues, and performance bottlenecks.
• Write clear technical documentation for APIs, system behavior, and implementation decisions.

Testing and Quality

• Write and maintain unit, integration, API, and end-to-end tests.
• Apply automated testing throughout the development lifecycle, not only at the final stage.
• Use tools such as Playwright for browser-based and end-to-end testing.
• Participate in code reviews and help maintain consistent engineering and quality standards.
• Validate AI-generated code through testing, review, security checks, and performance analysis.
• Improve quality by identifying recurring defects and strengthening test coverage and development processes.

Delivery and Operations

• Work with Git and GitHub using feature branches, pull requests, code reviews, and documented release processes.
• Contribute to CI/CD pipelines, preferably with GitHub Actions or similar tools.
• Support deployment and maintenance in cloud environments such as DigitalOcean, AWS, Azure, or GCP.
• Work with core infrastructure concepts including containers, environment configuration, secrets, networking, databases, application services, and deployment pipelines.
• Use monitoring, logging, error-tracking, and session-replay tools such as Grafana and Sentry, or equivalent platforms.
• Help diagnose production issues using logs, metrics, traces, error reports, and session recordings.

Collaboration and Ways of Working

• Work as part of an Agile Scrum team and participate in sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives.
• Break requirements into clear, estimable technical tasks.
• Communicate progress, risks, dependencies, and blockers clearly.
• Collaborate with product managers, software engineers, QA specialists, data scientists, and external development partners.
• Work independently in a remote setting while seeking clarification when requirements or technical constraints are unclear.
• Stay open to learning and working across multiple technologies.

Requirements

• Practical software design and development experience from professional work, internships, academic projects, open-source contributions, or a strong technical portfolio.
• Experience using Claude Code or a similar AI coding agent to build, debug, test, or maintain software.
• Proficiency in Python and experience with FastAPI or a comparable Python web framework.
• Experience with React and JavaScript or TypeScript.
• Experience building back-end services using Node.js, Python, or both.
• Understanding of REST or GraphQL API design.
• Experience writing unit and integration tests.
• Understanding of relational databases and SQL.
• Familiarity with Git, GitHub, pull requests, and code-review workflows.
• Understanding of software engineering principles such as maintainability, modularity, security, and separation of concerns.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently in a remote environment.
• Professional working proficiency in English.

Preferred Qualifications

• Experience building GraphQL schemas, queries, mutations, subscriptions, and resolvers.
• Experience with GraphQL libraries such as Strawberry, Graphene, Ariadne, Apollo, or similar tools.
• Experience with Playwright or another end-to-end testing framework.
• Familiarity with CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, or similar tools.
• Basic experience deploying or maintaining applications on DigitalOcean, AWS, Azure, or GCP.
• Familiarity with Docker and container-based application deployment.
• Experience with observability and production-support tools such as Grafana, Sentry, application logging platforms, or session-replay tools.
• Experience with message queues such as RabbitMQ, Kafka, Redis, or similar systems.
• Experience integrating AI or machine-learning models into production applications.
• Familiarity with authentication, role-based access control, API security, secrets management, and data-protection practices.
• Experience working in an Agile Scrum product-development environment.

Education

A bachelor’s degree in Computer Science or Software Engineering is preferred.

What We Value

• Engineers who use AI tools to move quickly without sacrificing correctness or maintainability.
• A testing mindset and a strong sense of ownership.
• Curiosity and willingness to work across the full application lifecycle.
• Clear communication and constructive collaboration.
• The ability to turn product requirements into reliable, production-ready software.