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AI Developer
Skills
Full-Stack DevelopmentSoftware As A ServiceApache SparkComplex SystemsContextCost EngineeringDatabases
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3+ years of professional AI/ML production experience
- Strong Python proficiency with packaging testing type hints and async
- Hands-on experience with LangChain LlamaIndex or similar RAG tools
- Experience with vector databases and embedding models
- Solid understanding of ML fundamentals including evaluation and fine-tuning decisions
- Experience building and deploying production APIs such as FastAPI or Flask
- Familiarity with cloud infrastructure and Docker or Kubernetes
- Experience with large-scale data processing using SQL pandas Spark or similar
- Competent with Git and GitHub branching and PR workflows
- Ability to iterate quickly without sacrificing code quality
- Exceptional troubleshooting skills in production at scale
- Ability to keep complex systems simple
- Previous remote work experience
- Reliable personal computer and internet access
- Availability for audio video meetings and Slack during 9 AM to 1 PM EST
Nice to have
- Builder at heart
- Self-starter
- User-focused
- Full-stack owner
- Clear communicator
- Continuous learner
- Craftsmanship-minded
- Team player
- Interested in internal tools
Day to day
- Build AI-powered internal tools and data-driven systems that improve organizational decisions
- Work with large-scale behavioral and operational data from 30 million+ websites to create analytics reporting and workflow intelligence
- Design and deploy RAG systems LLM features and agentic workflows that generate actionable insights for internal teams
- Build scalable data pipelines and production-grade Python services with logging observability and strong error handling
Hiring process
- Submit your application
- Include a cover letter with AI/ML journey
- Describe your most impactful production AI system
- Explain what you would build with data from 30 million websites
- Provide profile links with code samples
- Include links to research blog posts or open-source contributions
- Add other profile links if available
- Tell why you should be considered
