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Why this grade This listing scored 27/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Headquarters:
We are seeking a Senior Software Engineer to build and scale production-grade AI-powered financial products. This is a hands-on engineering role focused on backend platform development, AI integration, and distributed systems. The ideal candidate has strong experience with TypeScript, Python, cloud-native architectures, and applying LLMs in real-world production environments.
General Information
Our client is a fast-growing, Series A-backed AI company delivering agentic AI solutions to banks and credit unions. Their platform is already serving over 100 financial institutions and more than 10 million end users.
The Senior Software Engineer will work closely with the VP of Engineering, CTO, and CEO to design, build, and operate scalable backend services and AI-powered applications. This role combines platform engineering with practical AI implementation, requiring an engineer who enjoys building production systems rather than conducting AI research.
Tasks and Deliverables
- Design, develop, and maintain scalable backend services powering AI-driven financial products.
- Own technical decisions across system architecture, APIs, data models, performance, security, and reliability.
- Build backend applications using TypeScript and Python, while contributing to frontend functionality with JavaScript when needed.
- Integrate LLMs and agentic AI capabilities into production software.
- Design and implement distributed, cloud-native systems with strong observability and operational excellence.
- Define engineering best practices around code quality, testing, deployment, and incident response.
- Collaborate closely with product, design, data, and engineering leadership to deliver customer-facing features.
- Utilize modern AI development tools to improve engineering productivity and software quality.
Required Experience
- 5+ years of professional software engineering experience building production-grade applications.
- Strong proficiency in TypeScript and/or Python.
- Experience designing scalable backend systems, APIs, and distributed architectures.
- Strong knowledge of cloud platforms such as AWS or GCP.
- Hands-on experience integrating Large Language Models (LLMs) into production applications.
- Experience with prompt engineering and applying AI to solve real business problems.
- Strong understanding of software architecture, scalability, performance optimization, reliability, and security.
- Experience working in fast-paced product environments with significant technical ownership.
- Bachelor's degree in Computer Science or related discipline.
Preferred Experience
- Conversational AI, Agentic AI, NLP, or dialogue systems.
- Fintech, banking, or regulated industry experience.
- Startup experience building products from early stages through scale.
- Experience with observability, CI/CD, Kubernetes, Docker, and modern DevOps practices.
- Familiarity with AI developer tools such as Cursor or Claude Code.
- Engagement Highlights
- Build production AI systems used by millions of banking customers.
- Work directly with executive engineering leadership on high-impact technical initiatives.
- Hands-on engineering role with ownership across architecture, implementation, and delivery.
- Opportunity to combine backend engineering expertise with practical LLM and agentic AI development.
- Join a profitable, AI-first company building the next generation of intelligent financial services.
Apply for this role Opens weworkremotely.com — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 12 Aug 2026 We Work Remotely first sighting
Seen on 1 board over 6 days.