Base Salary
$140k - $160k/yr
Responsibilities
- Build and ship agentic workflows on the Titan platform for banking use cases.
- Configure agents, write integrations, and design evaluations for production.
- Partner with clients to gather requirements and demo progress.
- Iterate quickly through hypothesis, prototyping, feedback, and refinement.
- Capture patterns back into the platform for future builds.
- Learn the banking domain rapidly through immersion.
Requirements
- Demonstrated experience in building projects, preferably with a GitHub portfolio.
- Comfortable in client-facing roles or eager to develop this skill.
- Strong foundation in prompt and context engineering.
- Full-stack development experience, particularly in Python and TypeScript.
- Experience with AI tools like LangChain and model-provider SDKs.
- Familiarity with AI security concerns and workflow automation.
Benefits
- Competitive base salary plus meaningful pre-Series A equity.
- Remote-first work environment with regular client travel.
- Unlimited PTO.
- 100% of employee medical, dental, and vision premiums covered.
Tech Stack
Categories
About Titan AI
Titan isn’t adapting AI to banking. We’re building AI that thinks like a bank. Titan delivers secured, explainable access to both general-purpose LLMs and its own proprietary banking-native AI models purpose-built for the operational, regulatory, and risk realities of financial services through one interface. Additionally, Titan offers Banking Agents that leverage its banking models to deliver industry-leading agentic outcomes. Designed from day one by former bankers, regulators, and AI engineers, our models embed domain expertise directly into their foundation, not as an afterthought. The results speak for themselves: - Blind tested against ChatGPT, Claude, and Gemini - and compliance officers preferred Titan's responses more than 70% of the time on average. - Significant outperformance on banking tasks over common general-purpose LLM - Other advantages related to our ontology, semantic layer, etc., have driven us to become the preferred AI platform for banking Unlike general-purpose LLMs, Titan’s models reason with banking logic, delivering exam-ready, explainable, and auditable outputs, even when data is incomplete or prompts are imperfect. Built on a proprietary banking ontology and evaluated using Titan’s Banker Trust Index (BTI), our models align with how institutions actually operate and how regulators assess decisions. This reduces risk, improves consistency, and increases trust across critical workflows.