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