Note: The job is a remote job and is open to candidates in USA. 24-MAG LLC is sharing a full-time opportunity for a Software Engineer, Data Platforms to build and maintain production systems supporting human-data and AI operations. The role owns work across backend services, data pipelines, databases, and React frontends, using coding agents and collaborating 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
Skills
- 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
Benefits
- Fully remote
Company Overview