Remote AI-Native Data Platforms Engineer

Zekai; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance reimbursement

Paid time off

401(K) plan with company match

Remote-first workforce benefits

Job summary

Zekai is seeking an AI-native, fullstack software engineer to build our partner's human data platforms. You will own features end-to-end—from backend services and data pipelines to the frontend interfaces used by experts.

The role blends traditional fullstack and research engineering, with coding agents as a primary workflow. You will collaborate with research, operations, and product to ship production-ready systems.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related field, or equivalent practical experience.
• 0–5 years of software engineering experience, or strong shipped projects as a recent graduate.
• Strong fundamentals in Python and TypeScript, with experience building CRUD applications using frameworks such as FastAPI/Flask and React.
• Working knowledge of databases such as PostgreSQL, MongoDB, or SQLite and core data modeling principles.
• Experience deploying services on a major cloud platform (GCP, AWS, or Azure).
• Coding agents such as Claude Code, Cursor, or Codex are your default development workflow, and you can clearly explain how you use them.
• Ability to turn outcomes into plans, direct agents, verify results, and identify architectural issues agents may miss.
• Understanding of agent loops, MCP, tool/data integrations, permissions, and security.
• Familiarity with context management, RAG, and evals for testing agent workflows.

Responsibilities

• Design and ship fullstack features across backend APIs, data pipelines, and React frontends.
• Own client-facing data delivery and platform infrastructure, including exports, access control, and reliability.
• Scope work around outcomes, direct coding agents—often in parallel—review changes at the architecture level, and iterate until shipped.
• Build and maintain services in Python (FastAPI) and TypeScript.
• Contribute to data modeling, schema design, and query performance across relational and document databases.
• Partner with research engineering, operations, and product to translate platform needs into production-ready systems.
• Improve the frameworks, checks, and evals that make agent-driven development faster without sacrificing quality.
• Troubleshoot production issues and build resilient, observable systems.

Job description

Zekai is seeking an AI-native, fullstack software engineer to build our partner's human data platforms. You will own features end-to-end—from backend services and data pipelines to the frontend interfaces used by experts.

The role blends traditional fullstack and research engineering, with coding agents as a primary workflow. You will collaborate with research, operations, and product to ship production-ready systems.