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

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

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Design and ship production-ready features across backend APIs, data pipelines, and React frontends

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Build and maintain backend services using Python frameworks such as FastAPI or Flask

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Develop TypeScript-based frontend and platform components

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Own features from initial requirements and architecture through implementation, testing, and deployment

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Build reliable systems that support day-to-day expert and operational workflows

Data Platforms & Infrastructure

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Own client-facing data delivery workflows, including exports, access control, and platform reliability

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Contribute to data modelling, schema design, and query-performance optimisation

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Work across relational and document databases such as PostgreSQL, MongoDB, or SQLite

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Build and maintain data pipelines supporting production platform requirements

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Troubleshoot production issues and improve system resilience, observability, and reliability

AI-Assisted Engineering & Coding Agents

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Use coding agents as a primary development workflow for implementation and iteration

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Scope engineering work around desired outcomes and direct multiple coding agents where appropriate

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Review agent-generated changes at the architectural and systems level

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Identify technical, security, or design issues that automated coding workflows may miss

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Improve frameworks, checks, and evaluations that enable faster agent-driven development without sacrificing engineering quality

Cross-Functional Development & System Design

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Partner with research engineering, operations, and product teams to translate platform requirements into production systems

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Convert ambiguous product or research needs into scoped technical plans and implementation workflows

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Work with agent loops, MCP, tool integrations, data integrations, permissions, and security considerations

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Apply context management, RAG, and evaluation techniques when testing agent-based workflows

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Communicate architecture decisions, trade-offs, implementation risks, and technical constraints clearly

Ideal Profile

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Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline, or equivalent practical experience

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Approximately 0–5 years of professional software engineering experience, or strong shipped projects as a recent graduate

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Strong fundamentals in Python and TypeScript

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Experience building CRUD applications using frameworks such as FastAPI, Flask, React, or comparable technologies

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Working knowledge of relational or document databases including PostgreSQL, MongoDB, SQLite, or similar systems

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Experience deploying services to a major cloud platform such as GCP, AWS, or Azure

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Practical experience using coding agents such as Claude Code, Cursor, Codex, or comparable tools as part of regular engineering work

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Ability to turn desired outcomes into technical plans, direct coding agents, verify results, and identify architectural issues

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Understanding of agent loops, MCP, tool and data integrations, permissions, and security

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Familiarity with context management, RAG, and evaluations for testing agent workflows

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Exposure to reinforcement-learning concepts or environments is advantageous

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Experience with coding-data pipelines or task-authoring platforms is beneficial

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Familiarity with CI/CD, deployment pipelines, and DevOps fundamentals is advantageous

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Contributions to team projects, open-source software, or startup environments are beneficial

Engagement Details

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Full-time engagement

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Fully remote

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Compensation: $200,000–$280,000/year

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Work will span full-stack engineering, data-platform development, backend services, React interfaces, and AI-assisted software development

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Coding agents will form a central part of the engineering workflow

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Responsibilities will include production-system ownership, data infrastructure, reliability, and cross-functional implementation

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Collaboration will involve research engineering, operations, product, and other technical stakeholders

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Platform priorities and technical requirements may evolve as product and research needs develop

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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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