Full Stack Engineer
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Job Summary
About the Role
We are looking for a Full Stack Engineer with strong backend engineering and system design experience to join a team building enterprise-grade AI-enabled solutions within a banking environment.
This is a backend-focused Full Stack role suited to an engineer who can design secure scalable and reliable applications involving APIs microservices asynchronous processing distributed workflows and modern frontend technologies.
The successful candidate will contribute to complex AI-enabled solutions involving multiple services data sources and intelligent components supporting business-critical processes and decision-making.
Key Responsibilities
- Design and develop secure scalable and high-performance full stack applications with a strong focus on backend engineering.
- Build robust REST APIs and backend services for complex enterprise and AI-enabled workflows.
- Design microservices and distributed system architectures with reliable service-to-service communication.
- Develop asynchronous and event-driven workflows for long-running and multi-step processes.
- Support orchestration and communication across backend services AI components document-processing services and internal or external systems.
- Implement reliable processing patterns including idempotency retries timeout handling failure recovery and duplicate-request prevention.
- Design and optimize data models across SQL and NoSQL databases.
- Implement scalable caching strategies using Redis or similar technologies.
- Build secure authentication and authorization mechanisms across APIs and microservices.
- Implement monitoring logging and observability capabilities to ensure production reliability.
- Develop and maintain modern frontend applications and dashboards as part of end-to-end product delivery.
- Collaborate with AI engineers DevOps engineers platform teams architects and business stakeholders.
Requirements
Required Skills & Experience
- 6 years of professional software engineering experience.
- Strong hands-on experience in Full Stack development with significant backend engineering responsibilities.
- Strong experience with TypeScript and backend frameworks such as or NestJS.
- Hands-on frontend experience with or similar modern frameworks.
- Strong experience designing and developing RESTful APIs.
- Solid understanding of API design idempotency validation error handling and secure transaction processing.
- Strong experience with microservices and distributed systems.
- Experience with asynchronous processing messaging and event-driven architectures.
- Hands-on experience with Kafka RabbitMQ Azure Service Bus AWS SQS/SNS or equivalent technologies.
- Strong experience with SQL databases such as PostgreSQL MySQL or SQL Server.
- Experience with NoSQL databases such as MongoDB or equivalent.
- Strong understanding of database design indexing query optimization and large-volume data processing.
- Hands-on experience with Redis or similar distributed caching technologies.
- Strong understanding of authentication and authorization patterns such as OAuth 2.0 OIDC JWT mTLS or equivalent.
- Good understanding of retries timeouts failure handling resilience and high-availability patterns.
- Experience with monitoring logging and production troubleshooting.
- Strong communication problem-solving and system design skills.
Preferred Experience
- Exposure to Generative AI LLM-based applications or AI-enabled enterprise solutions.
- Experience integrating backend applications with AI services or intelligent document-processing solutions.
- Exposure to Agentic AI or multi-agent workflows is highly desirable but not mandatory.
- Understanding of dynamic workflow orchestration tool calling state management or planner/executor patterns is a strong advantage.
- Experience with cloud-native and containerized environments using Docker Kubernetes or OpenShift.
- Experience in banking fintech payments Open Banking Open Finance credit risk or other regulated enterprise environments.
Ideal Candidate
We are looking for a strong software engineer who can go beyond feature development and confidently design systems for scale security reliability and failure recovery.
The ideal candidate combines strong backend and distributed systems expertise with modern frontend capabilities and an interest in building next-generation enterprise AI applications. Direct Agentic AI experience is a strong advantage but strong software engineering fundamentals system design capabilities and the ability to work with new and evolving AI technologies are equally important.
Benefits
Required Skills:
Mandatory Skills 5 years of hands-on experience in AI / ML / Generative AI / Agentic AI Prior experience implementing AI solutions in Banking or Financial Services delivering enterprise-scale production-grade systems Strong expertise in Python and SQL Microsoft Azure Cloud experience including: Azure OpenAI Azure AI Search Azure AI Document Intelligence Azure Vision Azure AI Foundry Agentic / LLM frameworks: LangGraph LangChain Advanced Prompt Engineering Computer Vision using OpenCV API development using FastAPI Git Docker Azure Container Services Azure Cosmos DB / Document DB CI/CD pipelines Good to Have Open-source AI technologies (YOLO models Deep Learning NLP) Agent orchestration frameworks: Semantic Kernel Microsoft Agentic Framework LLM evaluation metrics and frameworks (RAG evaluation custom benchmarks etc.) MCP (Model Context Protocol) Orkes (Agentic AI Workflow Automation Tool) Streamlit or Flask for rapid PoC development Microsoft Certification: Azure AI Engineer (AI-102) Preferred Candidate Profile Strong system design and architecture mindset Experience working on large-scale enterprise AI platforms Comfortable owning end-to-end delivery (design build deploy scale)
