Gen AI Full stack Architect
Moody's Analytics · Bengaluru · onsite · Posted 33d ago
Undisclosed8–15 yrsfulltimeSourced from
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About this role
Job purpose
Location
Job responsibilities
Key competencies
Platform Infrastructure Requirements
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
We are looking for an experienced Full Stack Developer - Python with Python, React, npm and Node.js who thrives at the intersection of engineering and product. In this role, you will work closely with internal teams to design, integrate, and deploy AI-enabled solutions in real-world production environments. You will act as a technical owner from solution design through implementation and ensuring high-impact outcomes.
Location
Gurgaon / Bangalore / Pune
Job responsibilities
- 815 years of professional software engineering experience with end-to-end product delivery
- Strong hands-on experience with React.js for building modern, scalable front-end applications
- Strong backend development experience with Python and Node.js (API-first design)
- Solid proficiency with JavaScript/TypeScript , npm , and modern build tooling
- Strong experience with system integration : REST APIs, webhooks, external services, authentication, and enterprise integrations
- Proven experience in production deployment support , including debugging, performance tuning, and reliability engineering
- Strong knowledge of Git , branching strategies, and CI/CD pipelines (Jenkins, GitHub Actions, etc.)
- Familiarity with testing frameworks (unit/integration/e2e) and secure engineering practices (auth, encryption, compliance basics)
Key competencies
- Design, build, and deploy full-stack applications using React (frontend) and Python/Node.js (backend)
- Build and integrate GenAI-powered features (e.g., chat copilots, summarization, extraction, search, automation) into real customer workflows
- Implement Agentic AI systems that can reliably use tools, call APIs, follow workflows, and operate with strong safety/guardrails
- Design systems with a focus on scalability, maintainability, security, and forward compatibility
- Collaborate closely with Product, Data Science and Platform Engineering .
- Own solution delivery end-to-end: architecture, implementation, testing, deployment and monitoring
- Create reusable components, internal tooling, and maintain high-quality technical documentation
Platform Infrastructure Requirements
- Experience with at least one cloud platform: AWS / Azure / GCP
- Familiarity with containerization and orchestration: Docker , Kubernetes (or ECS, Cloud Run, etc.)
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationDatadogDockerapisdata privacycloud platformamazon web servicesDesign SystemsAnalyticsAWS CloudWatchGoogle Cloud RundebuggingdeploymentcloudArchitecturecomplianceMicrosoft AzureBackend DevelopmentData PipelineData ScienceArtificial Intelligence
About Moody's Analytics
Moody's Analytics
Analytics & KPO
761
employees
2007
19 years old
New York, New York
United States (USA)
₹17.5L PA avg
Avg at Moody's Analytics
About
Moody's Analytics provides financial intelligence and analytical tools supporting our client's growth, efficiency and risk management objectives.
Industries
Analytics & KPOFinancial Services
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