Software Engineer, Data Platforms

We are sharing a specialised full-time opportunity for Software Engineers with strong expertise in Python, TypeScript, full-stack development, data platforms, and AI-assisted engineering workflows to build and maintain production systems supporting advanced human-data and AI operations. Selected professionals will own features end-to-end across backend services, data pipelines, databases, and React-based frontends. The role combines traditional full-stack engineering with research-oriented development, using coding agents as a core development workflow while collaborating closely with research engineering, operations, and product teams. 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 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 - 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 reliability - AI-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 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 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