Remote AI-Native Data Platform Engineer

SaidGig; New York (NY); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance reimbursement

Paid time off

401(k) with company match

Job summary

SaidGig is seeking a full-stack engineer to build AI-native data platforms that empower expert contributors. You’ll own features from backend services and data pipelines to React experiences, collaborating with research engineering, operations, and product teams to deliver reliable, scalable systems.

You will design data models, optimize queries, and deploy services on cloud platforms, while leveraging coding agents to guide development and validate outcomes.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, related field, or equivalent practical experience.
• 0 to 5 years of software engineering experience, or strong shipped projects as a recent graduate.
• Strong Python and TypeScript fundamentals; experience building CRUD applications with FastAPI or Flask and React.
• Working knowledge of PostgreSQL, MongoDB, or SQLite; core data-modeling principles.
• Experience deploying services on GCP, AWS, or Azure.
• Comfort using coding agents such as Claude Code, Cursor, or Codex as a primary development workflow, with ability to explain workflow.
• Ability to turn desired outcomes into plans, direct agents, validate results, and identify architectural issues agents may miss.
• Understanding of agent loops, MCP, tool and data integrations, permissions, and security.
• Familiarity with context management, RAG, and evaluations for testing agent workflows.

Responsibilities

• Design and ship end-to-end features across backend APIs, data pipelines, and React frontends.
• Own client-facing data delivery and platform infrastructure, including exports and access controls.
• Build and maintain Python, FastAPI, and TypeScript services.
• Define data models and schemas, and improve query performance across databases.
• Translate platform needs into production-ready systems with cross-functional teams.
• Use coding agents to execute outcomes, review architecture, verify results, and iterate launches.
• Improve frameworks, checks, and evaluations for agent-driven development.
• Troubleshoot production issues and build observable, resilient services.

Skills

Python

TypeScript

React

CRUD apps

Planning

Agent workflows

Education

Bachelor's degree in CS/related field

Tools

FastAPI

Flask

PostgreSQL

MongoDB

SQLite

GCP

AWS

Azure

Claude Code

Cursor

Codex

Job description

SaidGig is seeking a full-stack engineer to build AI-native data platforms that empower expert contributors. You’ll own features from backend services and data pipelines to React experiences, collaborating with research engineering, operations, and product teams to deliver reliable, scalable systems.

You will design data models, optimize queries, and deploy services on cloud platforms, while leveraging coding agents to guide development and validate outcomes.