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

24-MAG; United States; Remote; USD 200,000 - 280,000; Full time

Job summary

24-MAG LLC presents a specialised full-time opportunity for software engineers with strong Python, TypeScript, and full-stack skills. The role focuses on production systems, data platforms, and AI-assisted engineering workflows, spanning backend APIs, data pipelines, and React frontends.

You will own features end-to-end, collaborating with research engineering, operations, and product teams to enable robust, scalable, and observable platforms for advanced human-data and AI operations.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related discipline.
• 0–5 years of professional software engineering experience or shipped projects as a recent graduate.
• Strong fundamentals in Python and TypeScript.
• Experience building CRUD applications with FastAPI, Flask, React, or similar technologies.
• Experience with relational or document databases (PostgreSQL, MongoDB, SQLite).
• Experience deploying services to a major cloud platform (GCP, AWS, or Azure).
• Practical experience using coding agents as part of regular engineering work.

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 through implementation, testing, and deployment.
• Build reliable systems that support day-to-day expert and operational workflows.
• Own client-facing data delivery workflows and contribute to data modelling and query optimization.
• Review agent-generated changes at the architectural and systems level.

Skills

Python

TypeScript

Full-stack

Data platforms

AI workflows

Coding agents

Education

Bachelor's degree in CS or related field

Tools

FastAPI

Flask

React

PostgreSQL

MongoDB

SQLite

Claude Code

Cursor

Codex

Job description

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.

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