Remote | Software Engineer, Data Platforms — $200,000–$280,000/year

24-MAG LLC connects experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. The Software Engineer will build and maintain production systems across backend services, data pipelines, databases, and React frontends, while using AI-assisted coding agents as a core workflow. The role also involves data-platform ownership, system reliability, and collaboration with research engineering, operations, and product teams.

Responsibilities:

• Design and ship production-ready features across backend APIs, data pipelines, and React frontends
• Build and maintain backend services using Python frameworks such as FastAPI or Flask
• Develop TypeScript-based frontend and platform components
• Own features from initial requirements and architecture through implementation, testing, and deployment
• Build reliable systems that support day-to-day expert and operational workflows
• Own client-facing data delivery workflows, including exports, access control, and platform reliability
• Contribute to data modelling, schema design, and query-performance optimisation
• Work across relational and document databases such as PostgreSQL, MongoDB, or SQLite
• Build and maintain data pipelines supporting production platform requirements
• Troubleshoot production issues and improve system resilience, observability, and reliability
• Use coding agents as a primary development workflow for implementation and iteration
• Scope engineering work around desired outcomes and direct multiple coding agents where appropriate
• Review agent-generated changes at the architectural and systems level
• Identify technical, security, or design issues that automated coding workflows may miss
• Improve frameworks, checks, and evaluations that enable faster agent-driven development without sacrificing engineering quality
• Partner with research engineering, operations, and product teams to translate platform requirements into production systems
• Convert ambiguous product or research needs into scoped technical plans and implementation workflows
• Work with agent loops, MCP, tool integrations, data integrations, permissions, and security considerations
• Apply context management, RAG, and evaluation techniques when testing agent-based workflows
• Communicate architecture decisions, trade-offs, implementation risks, and technical constraints clearly

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline, or equivalent practical experience
• Approximately 0–5 years of professional software engineering experience, or strong shipped projects as a recent graduate
• Strong fundamentals in Python and TypeScript
• Experience building CRUD applications using frameworks such as FastAPI, Flask, React, or comparable technologies
• Working knowledge of relational or document databases including PostgreSQL, MongoDB, SQLite, or similar systems
• Experience deploying services to a major cloud platform such as GCP, AWS, or Azure
• Practical experience using coding agents such as Claude Code, Cursor, Codex, or comparable tools as part of regular engineering work
• Ability to turn desired outcomes into technical plans, direct coding agents, verify results, and identify architectural issues
• Understanding of agent loops, MCP, tool and data integrations, permissions, and security
• Familiarity with context management, RAG, and evaluations for testing agent workflows
• Exposure to reinforcement-learning concepts or environments is advantageous
• Experience with coding-data pipelines or task-authoring platforms is beneficial
• Familiarity with CI/CD, deployment pipelines, and DevOps fundamentals is advantageous
• Contributions to team projects, open-source software, or startup environments are beneficial