Base Salary
$125k - $175k/yr
Responsibilities
- Develop and scale products that integrate large language models and machine learning into banking.
- Design, implement, and scale backend services and APIs for the platform.
- Build interfaces and APIs connecting backend logic with web or mobile clients.
- Optimize scalability, load balancing, and performance of web server backends.
Requirements
- Strong proficiency in Python backend development, preferably with FastAPI.
- Experience with TypeScript and React; familiarity with radix-ui, lucide-react, zustand, or React Router is a bonus.
- Hands-on experience with SQL databases like PostgreSQL or MySQL.
- Proficient with modern CSS frameworks such as TailwindCSS.
- Experience deploying applications on AWS or Azure, with knowledge of Docker and CI/CD pipelines.
- Familiarity with Kubernetes and infrastructure-as-code tools like Terraform.
- Background working with AI engineers or data science teams.
Benefits
- Competitive compensation including salary and pre-Series A equity.
- Remote-first culture with opportunities for in-person collaboration.
- Unlimited PTO.
- Medical, dental, and vision coverage with 100% of employee premiums paid by Titan.
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.