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**

* 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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