Remote Graphql Jobs in Missouri (NOW HIRING)

The Software Engineer - AI-Assisted Full-Stack Development will be responsible for designing, developing, and maintaining reliable software solutions while using AI-assisted tools to improve productivity, quality, and engineering efficiency.

• Design, develop, test, deploy, and maintain scalable web applications using technologies such as Python, FastAPI, React, JavaScript, TypeScript, and Node.js.
• Build and maintain REST or GraphQL APIs, including authentication, authorization, validation, schemas, resolvers, and error handling.
• Use AI coding agents such as Claude Code or similar tools to accelerate development while ensuring code quality, security, maintainability, and test coverage.
• Work with SQL and NoSQL databases, including data modeling, migrations, query optimization, and performance troubleshooting.
• Implement asynchronous processing solutions using message queues such as RabbitMQ.
• Investigate and resolve production issues, complex bugs, and performance bottlenecks.
• Create and maintain technical documentation covering APIs, system behavior, and implementation decisions.
• Develop and maintain automated tests, including unit, integration, API, and end-to-end testing.
• Validate AI-generated code through testing, security reviews, performance analysis, and engineering best practices.
• Participate in code reviews and contribute to consistent quality standards across development processes.
• Support CI/CD workflows using tools such as GitHub Actions or similar platforms.
• Contribute to application deployment and maintenance within cloud environments such as AWS, Azure, GCP, or DigitalOcean.
• Work with infrastructure concepts including containers, environment configuration, secrets management, networking, and deployment pipelines.
• Monitor applications using logging, observability, error tracking, and performance tools such as Grafana and Sentry.
• Collaborate within Agile Scrum teams, participating in planning, refinement sessions, stand-ups, reviews, and retrospectives.

The ideal candidate is a software engineer with strong full-stack development foundations, curiosity for AI-assisted engineering, and the ability to deliver reliable solutions in a remote environment.

• Practical software development experience gained through professional work, internships, academic projects, open-source contributions, or strong technical portfolios.
• Experience using AI coding assistants or similar AI development tools to build, debug, test, or maintain software.
• Strong proficiency in Python and experience with FastAPI or similar Python web frameworks.
• Experience developing frontend applications using React and JavaScript or TypeScript.
• Experience building backend services using Python, Node.js, or both.
• Understanding of REST or GraphQL API design principles.
• Experience writing unit and integration tests and applying testing practices throughout development cycles.
• Knowledge of relational databases and SQL.
• Familiarity with Git, GitHub, pull requests, and code review workflows.
• Understanding of software engineering principles including modularity, maintainability, security, and separation of concerns.
• Strong analytical thinking, problem-solving abilities, and communication skills.
• Ability to work independently and effectively in a remote environment.
• Professional working proficiency in English.
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field is preferred, though equivalent practical experience and strong portfolios are also considered.

Nice-to-have skills:

• Experience designing GraphQL schemas, queries, mutations, subscriptions, and resolvers.
• Familiarity with GraphQL libraries such as Strawberry, Graphene, Ariadne, Apollo, or similar technologies.
• Experience with Playwright or other end-to-end testing frameworks.
• Knowledge of CI/CD platforms such as GitHub Actions, GitLab CI, or Jenkins.
• Experience deploying applications on cloud platforms such as DigitalOcean, AWS, Azure, or GCP.
• Familiarity with Docker and container-based deployments.
• Experience with observability and production support tools.
• Experience with message queues such as RabbitMQ, Kafka, or Redis.
• Experience integrating AI or machine learning capabilities into production applications.
• Knowledge of authentication, role-based access control, API security, secrets management, and data protection practices.
• Experience working in Agile Scrum product development environments.

• Fully remote work opportunity within the United Kingdom or compatible EU time zones.
• Flexible remote-first working environment.
• Opportunity to work with modern AI-assisted development practices.
• Exposure to full software development lifecycle activities, from design to production support.
• Collaboration with international engineering and product teams.
• Opportunity to work with modern cloud technologies and scalable architectures.
• Continuous learning environment focused on innovation and technical growth.
• Contractor FTE engagement model.
• Opportunity to contribute to impactful software solutions using emerging technologies.