Staff Full-Stack Engineer

Overview

Senior technical leader responsible for architecting, building, and scaling enterprise-grade AI, automation, and full-stack solutions across Finance, partnering with Finance, Product, IT, Data, Architecture, and Engineering teams.

What you'll do

• Lead the architecture, design, development, and delivery of enterprise-grade AI, automation, and full-stack solutions across Finance.
• Build production applications end to end across user experience, APIs, backend services, data, AI/agents, automation, enterprise integrations, and cloud infrastructure.
• Design and implement Generative AI and agentic AI solutions, including RAG, tool/function calling, AI agents, workflow orchestration, and human-in-the-loop experiences.
• Build scalable full-stack applications using Angular/React, TypeScript, Python/FastAPI, Java/Spring Boot, APIs, microservices, and modern data platforms.
• Modernize traditional automation toward API-first, event-driven, AI-enabled, and agentic architectures.
• Translate complex Finance requirements into secure, scalable, reusable technical solutions across Order to Cash, Source to Pay, Record to Report, and other Finance processes.
• Integrate solutions across SAP, enterprise data platforms, Microsoft/Azure AI, UiPath, ServiceNow, and other Finance technologies.
• Establish reusable AI agents, automation components, APIs, services, frameworks, and engineering patterns that accelerate delivery across Finance.
• Own engineering quality through CI/CD, automated testing, observability, performance optimization, security, scalability, and production reliability.
• Apply Responsible AI, Zero Trust, data protection, auditability, and enterprise governance throughout the solution lifecycle.
• Lead technical design and code reviews, mentor engineers, establish engineering standards, and raise the technical bar across the team.
• Act as a technical advisor to Finance, Product, AI/Automation, Architecture, and IT teams, challenging unnecessary complexity and driving sustainable technical decisions.

What you'll need

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, or related field with 8+ years of relevant software engineering experience, OR Master's degree with 6+ years of relevant experience.
• Strong hands-on expertise in Python and modern JavaScript/TypeScript, including Angular/React and modern backend frameworks.
• Proven experience designing and delivering production-grade APIs, microservices, distributed applications, and enterprise integrations.
• Hands-on experience with Generative AI, LLM integration, RAG, prompt engineering, tool/function calling, and agentic AI application development.
• Strong experience with SQL, data integration, cloud platforms, Docker, Kubernetes/OpenShift, Git, CI/CD, and automated testing.
• Experience defining and implementing unit, integration, API, and end-to-end testing strategies.
• Ability to independently lead technical architecture and delivery from ambiguous requirements through production deployment.
• Proven ability to communicate complex technical concepts clearly to engineering, business, and senior stakeholders.

Nice to have

• Experience building enterprise AI platforms, reusable AI services, agents, frameworks, SDKs, or developer tooling.
• Hands-on experience with multi-agent architectures, MCP, enterprise search, AI evaluation, observability, LLMOps/MLOps, and AI guardrails.
• Experience with Azure AI, Azure AI Foundry, Microsoft Copilot/Copilot Studio, UiPath, Snowflake, SAP, ServiceNow, or Celonis.
• Experience integrating AI and automation with SAP ECC/S/4HANA and enterprise Finance platforms.
• Experience modernizing traditional automation toward API-first, cloud-native, AI-enabled, and agentic architectures.
• Experience with workflow orchestration, intelligent automation, enterprise APIs, and event-driven integration.
• Experience applying Responsible AI, security, Zero Trust, data privacy, audit logging, and governance within production applications.
• Strong technical leadership, architecture, mentoring, stakeholder management, and problem-solving skills.

Details

• Location: Hyderabad, Telangana, India.