Senior Full Stack Software Engineer

About the role

This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more.

This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams

Hiring Company: Operio.ai

One-liner: Operio.ai is an AI-native infrastructure platform that turns fragmented fleet and field data into clear operational decisions.

Why Join Us:

• AI assistant for physical operations, unifying telematics, maintenance, fuel, safety, and other fleet systems.
• Platform builds digital twins and a semantic knowledge graph, providing continuous monitoring and actionable recommendations.
• Venture-backed seed-stage company founded in 2025, supported by Meydan Group family office.
• Lean 12-person team based in Palo Alto with substantial equity and comprehensive health benefits.

Role Responsibilities

• Design and build full stack features across the Operio platform, from Python/FastAPI/Django backend services to React/Next.js frontend interfaces
• Develop and maintain AI-integrated product features, including LLM-powered workflows, agentic task pipelines, and natural language interfaces for fleet operations
• Architect and optimize relational and document database schemas to support complex operational data models and high-throughput telemetry ingestion
• Integrate and maintain LLM evaluation pipelines using LangSmith to monitor model quality, latency, and regression across production features
• Collaborate with AI engineers to wire multi-agent framework outputs into clean, reliable product surfaces
• Use Daytona for standardized, reproducible cloud development environments across the team
• Manage tasks, sprints, and engineering workflow in Linear, contributing to clear project planning and transparent execution
• Leverage AI-assisted development tools—including Claude Code and OpenAI Codex—to accelerate velocity and maintain high code quality
• Write tests, instrument observability, and participate in code review with a high bar for reliability and maintainability
• Contribute to technical architecture decisions and help shape engineering culture as an early team member

Qualifications

Required

• 5+ years of software engineering experience with a proven track record of shipping production full stack systems
• Expert-level Python proficiency: deep knowledge of async patterns, type systems, dependency injection, testing, and frameworks such as FastAPI, Pydantic, Django, SQLAlchemy, or Celery
• Strong frontend engineering skills in React and Next.js, including component architecture, state management, data fetching patterns, and performance optimization
• Solid database expertise across relational systems (PostgreSQL preferred) and familiarity with schema design, query optimization, migrations, and ORM usage
• Hands-on familiarity with LLMs, prompt engineering, and agentic AI frameworks (LangChain, LangGraph, or equivalent)
• Experience using LangSmith or comparable LLM observability/evaluation tooling in a production context
• Demonstrated comfort with AI-assisted development workflows, including tools such as Claude Code, GitHub Copilot, or OpenAI Codex
• Experience managing engineering work in Linear or a comparable issue-tracking and sprint-planning tool
• Prior startup experience: comfortable operating with limited process, high ambiguity, and a bias toward shipping
• BS degree or higher in Computer Science, Software Engineering, or a closely related technical field

Preferred

• Experience with Daytona or similar cloud development environment platforms for reproducible, team-wide dev environments
• Familiarity with fleet management, telematics (Samsara, Geotab, SkyBitz), IoT data pipelines, or field service operations
• Exposure to data engineering tooling: dbt, Dagster, Airflow, or comparable pipeline orchestration
• Experience with streaming APIs, WebSockets, or real-time data delivery to frontend clients
• Contributions to open-source projects or a portfolio of shipped product work

How can I join Jobright TNT:

If this is your first time applying to a Jobright TNT role, the process works as follows:

• Apply to your first Jobright TNT role
• We review your background to determine if you meet the TNT quality bar
• If qualified, your application is directly recommended to the employer
• Once accepted into TNT, you may be:
• Invited to apply for other exclusive TNT-only roles
• Invited to private, invite-only hiring events with top startups

You will be notified of your TNT selection result.

PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.