Senior Full-Stack AI Engineer

Location: Remote (LATAM preferred, nearshore)
Engagement: Contract / Full-time
Experience: ~4-7 years in traditional terms, but we care more about AI-native capabilities than tenure

About the Role

This is a product-minded, AI-native engineering role where you'll ship real products for real clients.

You won't be taking tickets. You'll be owning features end-to-end from vague requirements to production systems, while operating inside our unified AI-orchestration system that maintains full context across the entire SDLC.

What You'll Work On

Building AI-first products across multiple domains:

• Consumer-facing mobile applications

• Enterprise workflow automation systems

• Healthcare platforms and regulated industry solutions

• Internal operational tools and admin systems

Architecting and implementing AI agents and agentic workflows for production use cases

Owning features 0 → 1:

• System architecture and technical decisions

• Implementation across full stack

• Iteration based on real user feedback

Operating within Day10's AI-orchestration system:

• Leveraging our unified toolchain (V0, Claude Code, Cursor, proprietary agents)

• Maintaining project context across requirements, architecture, and codebase

• Following AI-first SDLC methodology

Collaborating with product leadership and clients:

• Clarifying ambiguous requirements

• Unblocking yourself and moving fast

• Shipping outcomes, not activity

Technical Requirements

Strong full-stack foundation:

• Backend: Python (FastAPI strongly preferred)

• Frontend: React

• Mobile: React Native (familiarity required, mastery not mandatory)

Software architecture ownership:

• You design and reason about systems independently

• You understand trade-offs between speed and scalability

• You know when to architect for the future vs. ship now

0 → 1 product experience:

• You've shipped products from scratch

• You've made architectural decisions under ambiguity

• You understand product-market fit, not just clean code

Strong systems design fundamentals:

• You think in data flows, not just API endpoints

• You consider scale, cost, and maintainability upfront

AI / Agentic Experience (Critical)

This is non-negotiable. If you haven't embraced AI-first development, this role isn't for you.

Hands-on AI-first development experience:

• You build with AI tools daily (Claude, Claude Code, Cursor, etc.)

• You've shipped products where AI is core to the architecture

• You understand agent orchestration, not just API calls

  
  

Familiarity with agentic patterns and frameworks:

• LangChain, LangGraph, CrewAI, or similar

• You've designed multi-agent systems

• You've debugged agent hallucinations and quality issues

  
  

Production AI deployment experience:

• You've orchestrated sub-agents in real workflows

• You understand retrieval systems, context management, and model evaluation

• You monitor quality, cost, and drift

Red flag: If you haven't heard of Claude Code, this role is not a fit.

What "Senior" Means at Day10

We don't define seniority by years. We define it by judgment + AI adoption.

A senior engineer at Day10:

• Has owned complex systems end-to-end in production

• Can design, implement, and iterate independently

• Knows when to ask clarifying questions—and when to figure things out themselves

• Is fluent in AI-augmented workflows and treats AI as a core part of their process

• Ships faster than traditional teams of 5-10 because they leverage AI intelligently

We hire AI-native builders who:

• Learn fast and evolve constantly

• Obsess over efficiency and velocity

• Have the pragmatism to let AI handle grunt work

• Have the judgment to architect systems that AI can't

What We Care About (Non-Negotiables)

Ownership mentality:

• You treat every problem like it's yours

• You don't get blocked—you unblock yourself

• You ship outcomes, not just code

Proactiveness:

• You ask questions to clarify, not to avoid decisions

• You dig for context when requirements are vague

• You identify edge cases before they become bugs

Strong communication:

• Clear, concise, and direct

• Active in Slack, engaged in discussions

• Opinionated in a constructive way

Diligence & collaboration:

• You follow through on commitments

• You work well in small, high-trust teams

• You give and receive feedback openly

Speed without fragility:

• You move fast but don't ship broken systems

• You balance "ship now" vs. "build right"

• You know when to refactor and when to iterate

Nice to Have

• Experience in regulated domains (healthcare, fintech, insurance)

• Product intuition—you care about why things are built, not just how

• Previous startup or 0 → 1 experience

• Exposure to modern DevOps/MLOps practices

• Familiarity with agent evaluation frameworks and quality benchmarking