Founding AI Engineer

Nowadays
San Francisco
Workplace: OnsiteFull timeUSD 130,000 - 170,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Problem-solving","Adaptability","Attention to detail"]

Founding AI Engineer at a startup building an AI-driven event-planning platform. You’ll design and scale AI/LLM systems, develop AI agents for automation, and shape the AI/ML architecture from the ground up, collaborating with product and ops to deliver high-impact features for enterprise events.

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FursaFursa
Nowadays
Nowadays
7 months ago

Founding AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Founding AI Engineer at a startup building an AI-driven event-planning platform. You’ll design and scale AI/LLM systems, develop AI agents for automation, and shape the AI/ML architecture from the ground up, collaborating with product and ops to deliver high-impact features for enterprise events.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and scale AI systems that automate our event-planning workflow end-to-end.
  • •Develop and scale AI agents for auto-emailing, calling, web scraping, and deep research.
  • •Improve accuracy and reduce hallucinations across our LLM-powered features.
  • •Design and implement scalable AI workflows using modern LLM frameworks and tools.
  • •Work with real customer data to identify automation opportunities and validate AI solutions.

Pay and Benefits

Salary: USD 130,000 - 170,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceEquityPaid ParentalPaid LeaveMeal Allowance

Key Requirements

  • •Experience building and deploying AI/LLM systems in production.
  • •Strong proficiency in Python and modern AI/LLM frameworks (e.g., LangChain, LlamaIndex).
  • •Deep understanding of prompt engineering, RAG, and techniques to improve LLM accuracy.
  • •Experience with AI agents, tool calling, and autonomous systems.
  • •Comfort with full-stack development and shipping features end-to-end.
Experience:AISaaSEvent planning
Skills:CommunicationCollaborationProblem-solvingAdaptabilityAttention to detail
Tech Stack:PythonLangChainLlamaIndexLLMsAI frameworks

Eligibility

Visa:US citizen/visa only
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Nowadays
Builds AI copilots and conversational tools that help teams synthesize knowledge, automate workflows, and generate content from organizational data using retrieval-augmented generation and natural language interfaces for improved productivity.
Industry: AI & Machine Learning
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