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

engineeringjobs.net, Inc.; United States; Remote; USD 200,000 - 280,000; Full time

Job summary

24-MAG LLC is seeking a full-time Software Engineer for remote collaboration on a next-generation platform. You will work across backend APIs, data pipelines, and React frontends, applying Python and TypeScript to build production-ready features that support AI-assisted engineering workflows.

The role blends traditional full-stack work with research-inspired development, partnering with research engineering, operations, and product teams to translate requirements into scalable solutions.

Qualifications

• Bachelor's degree or equivalent practical experience in Computer Science, Computer Engineering, Software Engineering, or related discipline.
• Strong fundamentals in Python and TypeScript and ability to build CRUD apps.
• Experience with FastAPI/Flask backend and React frontend development.

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 requirements through implementation, testing, and deployment.
• Ensure platform reliability and support day-to-day expert workflows.
• Collaborate with research engineering, operations, and product teams.

Skills

Python

TypeScript

Full-stack

Data platforms

AI workflows

Education

Bachelor's degree or equivalent practical experience in CS/Software Eng

Tools

FastAPI

Flask

React

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.