← Serch more jobs

AI-Forward Full Stack Developer

LinkedIn Neato® Las Vegas, NV
Not Applicable Posted April 17, 2026 Job link
Thinking about this job
Not Met Priorities
What still needs stronger evidence
Requirements
  • Core Development
  • 4+ years experience developing software with the ability to create and maintain code from initial design to release
  • 3+ years working with Amazon’s SP-API services (MWS experience is a plus)
  • Strong Python development experience (Django or FastAPI preferred)
  • Knowledgeable of API creation, usage, integrations, and JSON manipulation
  • Ability to create ETL pipelines and other forms of data ingestion
  • Solid understanding of AWS services (Lambda, S3, RDS, SQS, etc.)
  • Experience with PostgreSQL or similar relational database systems and data architecture
  • AI Tooling & Workflow
  • Daily, active use of AI coding assistants (Claude Code, Cursor, GitHub Copilot, or similar) as a core part of your development workflow
  • Experience using LLMs (Claude, ChatGPT, Gemini, etc.) for code generation, debugging, architecture planning, and documentation
  • Ability to write effective prompts and system instructions to get reliable, production-quality output from AI tools
  • Comfort working in an AI-augmented development environment where speed of iteration and quality of AI-assisted output are valued
  • Understanding of when AI tools add value and when manual engineering is the right call.
  • You know how to review and validate AI-generated code, not just accept it blindly
  • Effective at collaborating in a remote work environment
  • Self-learner who actively experiments with emerging AI tools, frameworks, and development workflows
  • Excitement about the opportunity to create from-scratch products that fulfill both customer and internal needs
  • Comfortable with rapid iteration; you’d rather ship an AI-assisted MVP in days than spend weeks building manually
  • Work with a React front-end, Python back-end, and PostgreSQL database, as well as various AWS services
  • ⭐ Bonus Points: Show Us Your AI Chops
  • You’ve launched a project or product that was built primarily using AI-assisted development tools.
  • You have a public portfolio, GitHub repo, or demo showcasing AI-built or AI-enhanced applications
  • You’ve built or integrated AI/ML features into a production product (chatbots, recommendation engines, intelligent automation, RAG pipelines, etc.)
  • Experience with LLM API integrations (OpenAI, Anthropic, Google AI) in production applications
  • You’ve experimented with or deployed AI agents, autonomous workflows, or multi-step LLM chains (LangChain, CrewAI, etc.)
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector) and RAG architectures
  • You’ve contributed to open-source AI tools or published AI-related projects
  • Experience building custom GPTs, Claude projects, or AI-powered internal tools that saved real time or money
Preferred Skills
  • 3+ years working with Amazon’s SP-API services (MWS experience is a plus)
  • Strong Python development experience (Django or FastAPI preferred)
  • Experience using LLMs (Claude, ChatGPT, Gemini, etc.) for code generation, debugging, architecture planning, and documentation
  • Comfort working in an AI-augmented development environment where speed of iteration and quality of AI-assisted output are valued
  • Understanding of when AI tools add value and when manual engineering is the right call.
  • You know how to review and validate AI-generated code, not just accept it blindly
  • Comfortable with rapid iteration; you’d rather ship an AI-assisted MVP in days than spend weeks building manually
  • ⭐ Bonus Points: Show Us Your AI Chops
  • We’re looking for developers who don’t just use AI - they’re building with it, shipping with it, and pushing its limits.
  • Any of the following will make your application stand out:
  • You’ve launched a project or product that was built primarily using AI-assisted development tools.
  • You have a public portfolio, GitHub repo, or demo showcasing AI-built or AI-enhanced applications
  • You’ve built or integrated AI/ML features into a production product (chatbots, recommendation engines, intelligent automation, RAG pipelines, etc.)
  • Experience with LLM API integrations (OpenAI, Anthropic, Google AI) in production applications
  • You’ve experimented with or deployed AI agents, autonomous workflows, or multi-step LLM chains (LangChain, CrewAI, etc.)
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector) and RAG architectures
  • You’ve contributed to open-source AI tools or published AI-related projects
  • Experience building custom GPTs, Claude projects, or AI-powered internal tools that saved real time or money