Remote | Software Engineer, Data Platforms

We are sharing a specialised full-time opportunity for Software Engineers with strong expertise in Python, Type Script, 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.

• 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 Type Script-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

• 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 Type Script
• 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 Dev Ops fundamentals is advantageous
• Contributions to team projects, open-source software, or startup environments are beneficial

• 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…