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

Key Responsibilities: Full-Stack Platform Engineering 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 Type Script-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 Data Platforms & Infrastructure 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 reliabilityAI-Assisted Engineering & Coding Agents 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 Cross-Functional Development & System Design 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 Ideal Profile 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 Type Script 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 Dev Ops fundamentals is advantageous Contributions to team projects, open-source software, or startup environments are beneficial Engagement Details Full-time engagement Fully remote

Compensation: $200,000--$280,000/year Work will span full-stack engineering, data-platform development, backend services, React interfaces, and AI-assisted software development Coding agents will form a central part of the engineering workflow Responsibilities will include production-system ownership, data infrastructure, reliability, and cross-functional implementation Collaboration will involve research engineering, operations, product, and other technical stakeholders Platform priorities and technical requirements may evolve as product and research needs develop Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy