Chatbot Engineer
Hybrid (San Francisco)$175k - $275k + equityFull-timePosted 4mo ago
About the role
AI fraud prevention and underwriting agent role focused on building consumer-facing chat agents that serve as the frontend to complex workflows, with emphasis on context management, tool integration, and conversational UX for AI-driven underwriting workflows.
Responsibilities
- Consumer-facing chatbots that serve as the frontend to complex workflows
- Bridging internal workflow APIs and domain object code with the real-world call patterns of AI agents
- Making smaller models perform like larger models
- Designing creative ways to automate product judgment, such as using chatbots to roleplay users
- Working closely with design and product to balance look and feel, interaction quality, and business objectives
Qualifications
- Deep understanding of context management and agent loops vs. simple LLM prompts
- Ability to distinguish tools/APIs from natural language responsibilities
- Awareness of model capabilities, safety, and user experience considerations
- Willingness to escalate to MLEs for fine-tuning or advanced methods when needed
- Strong user outcomes focus and experimentation measurement
Skills
Required:Chatbot developmentPrompt EngineeringLLMs and AI agentsPythonSoftware design
Nice to have:SQL / BigQuery
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Two Dots
AI fraud prevention and underwriting agent
We're building an AI consumer underwriting automation service.
fintechb2bai
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