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Toptal: Senior Software Engineer for AI-Powered Banking Platform
예상 기간
장기(정규직)
난이도
전문가
기술 스택
TypeScript
Python
AWS
GCP
LLM
Kubernetes
Docker
JavaScript
AI 분석 요약 기회점수 72/100
은행 및 신용조합을 대상으로 하는 AI 기반(에이전틱 AI) 금융 플랫폼의 프로덕션급 백엔드 서비스를 설계·개발·운영하는 시니어 소프트웨어 엔지니어 채용 건입니다. TypeScript와 Python으로 확장 가능한 백엔드와 분산 시스템을 구축하고, LLM을 실제 프로덕션 환경에 통합하는 것이 핵심입니다. 이미 100개 이상의 금융기관과 1천만 명 이상의 사용자를 확보한 Series A 스타트업으로, 아키텍처·구현·운영 전반에 오너십을 갖고 싶은 5년차 이상 시니어 백엔드/풀스택 엔지니어에게 적합합니다.
핵심 요구사항
- 5년 이상 프로덕션급 소프트웨어 엔지니어링 경력
- TypeScript 및/또는 Python 능숙
- 확장 가능한 백엔드·API·분산 아키텍처 설계 경험
- AWS 또는 GCP 등 클라우드 플랫폼 숙련
- LLM을 프로덕션에 통합한 실무 경험 및 프롬프트 엔지니어링
- 소프트웨어 아키텍처·성능·안정성·보안에 대한 깊은 이해
산출물
- AI 기반 금융 제품을 구동하는 확장 가능한 백엔드 서비스
- LLM 및 에이전틱 AI 기능이 통합된 프로덕션 애플리케이션
- 관측성과 운영 안정성을 갖춘 분산 클라우드 네이티브 시스템
- 코드 품질·테스트·배포·장애 대응에 관한 엔지니어링 베스트 프랙티스
매력 포인트
- 1천만 명 이상 사용자 확보한 검증된 제품
- 경영진(CTO·VP)과 직접 협업하는 고임팩트 역할
- 성장하는 Series A AI 핀테크 스타트업
주의사항
- 예산·기간·급여 정보가 전혀 명시되지 않음
- Toptal 중개 형태로 실제 클라이언트 정보가 익명 처리됨
프로젝트 유형장기계약
적합 개발자5년차 이상 시니어 백엔드/풀스택 엔지니어 (TypeScript + Python + LLM 통합)
프로젝트 원문 설명
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.
To apply: https://weworkremotely.com/remote-jobs/toptal-senior-software-engineer-for-ai-powered-banking-platform
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.
To apply: https://weworkremotely.com/remote-jobs/toptal-senior-software-engineer-for-ai-powered-banking-platform
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