Senior AI Developer(Full Stack Engineer)

Job Title: Senior AI Developer(Full Stack Engineer)
Location: Palo, Alto, CA 94304
Duration: 3 months   Experience required: At least 8+ years hands-on in full stack development
  Role Summary
We are looking for experienced full stack contractors to build production-grade web applications and APIs. You will own features end to end from database schema through backend services to the user interface. This is a hands-on build role for engineers who are comfortable working through ambiguity, shaping the design as much as writing the code, and operating as an owner rather than a ticket-taker.
  Must-Have Skills

• Frontend
• Strong JavaScript fundamentals (ES6+, async/await, closures)
• React experience preferred (hooks, state management, component architecture)
• Backend
• Proficient in Python, writing production-grade code
• Hands-on experience with FastAPI or Flask for building REST APIs
• Database
• Experience with relational databases (PostgreSQL, MySQL, SQL Server, or equivalent)
• Good understanding of schema design, joins, indexing, and query optimization

Architecture & Problem Solving

• Ability to think through system design and build scalable solutions
• Strong analytical mindset to break down complex or ambiguous problems

Good-to-Have Skills

• Experience with Claude Code or other AI-assisted development tools extra points for this desktop app based on Electron framework - Extra points for this
• Agentic Frameworks (ADK, Langraph )
• API documentation (Swagger / OpenAPI)
• Git and version control best practices
• Basic DevOps awareness (Docker, CI/CD)
• Testing experience, both unit and integration
• Behavioral Expectations (Non-Negotiable)
• These are weighted equally with technical skill. Candidates who are strong engineers but weak here will not be a fit.

Expectation

• What it looks like in practice
• Proactive communication
• Shares updates without being asked and flags blockers early
• Asks the right questions
• Clarifies requirements upfront before jumping into implementation
• No working in silos
• Collaborates openly, seeks feedback, and loops in stakeholders regularly
• Ownership mindset
• Treats the project as their own rather than just completing tickets
• Transparency
• Speaks up when something is unclear instead of making assumptions

What Success Looks Like

• Features shipped end to end schema, API, and UI with minimal hand-holding
• Requirements clarified early, so rework is rare
• Blockers surfaced the day they appear, not at the end of the sprint
• Code that others can read, test, and extend

  For screening Please share: An up-to-date CV highlighting relevant Python, React, and SQL work
Links to code samples or repositories, if available
Any experience using AI-assisted development tools in your workflow