Key Responsibilities
- Design and develop scalable full-stack web applications from requirements through production.
- Build modern user interfaces using React, TypeScript, and Next.js.
- Design and implement backend services and REST APIs using Node.js/Express or C#/.NET Core.
- Design database schemas, optimize queries, and build reliable data-access layers.
- Build AI-powered features using LLMs, AI agents, RAG, and tool/function calling.
- Integrate AI capabilities into existing products, workflows, and automation pipelines.
- Design and implement secure authentication, authorization, and role-based access controls.
- Integrate third-party APIs and services, including communication, payment, CRM, and e-signature platforms.
- Deploy and operate applications using AWS or Azure and support production monitoring and troubleshooting.
- Write automated tests, participate in code reviews, and maintain engineering standards.
- Own technical decisions, identify risks and trade-offs, and collaborate with product and business stakeholders.
- Mentor engineers and contribute to architecture and technical direction.
Required Skills & Experience
Frontend
- Strong experience with React.js and TypeScript.
- Hands-on experience with Next.js and modern frontend application architecture.
- Experience with state management, API integration, responsive UI development, and frontend testing.
Backend
Strong backend development experience in either Node.js/Express or C#/.NET Core. Experience with both is a plus.
- REST API design and development.
- Backend application architecture and service design.
- Microservices or modular application architecture.
- Authentication, authorization, security, and API documentation.
- Background jobs, scheduled workflows, or serverless functions.
AI / Generative AI
- Hands-on experience building applications using LLMs and Generative AI.
- Experience building AI agents and agentic workflows.
- Experience with RAG (Retrieval-Augmented Generation).
- Experience with vector databases and semantic search.
- Experience with LLM tool/function calling and external system integrations.
- Experience with AI application frameworks/SDKs such as Vercel AI SDK or LangChain.
- Understanding of prompt engineering, context management, and reliable AI application design.
- Exposure to fine-tuning or adapting models for application-specific use cases.
Database & Data
- Strong SQL and relational database fundamentals.
- Experience with PostgreSQL or Microsoft SQL Server.
- Database schema design, indexing, query optimization, and ORM/data-access patterns.
- Exposure to NoSQL databases such as DynamoDB or Cosmos DB is a plus.
Cloud & DevOps
- Hands-on experience with AWS or Azure.
- Experience with serverless/cloud application components, APIs, and managed services.
- Understanding of CI/CD, logging, monitoring, and production troubleshooting.
Architecture & Engineering Practices
- Strong understanding of scalable application architecture and clean coding practices.
- Experience with REST and/or GraphQL APIs.
- Understanding of SOLID principles, modular design, and maintainable codebases.
- Automated testing and test-driven development practices where appropriate.
- Experience with Git, code reviews, technical documentation, and collaborative development.
Third-Party Integrations & Automation
- Experience integrating external APIs, webhooks, and SaaS platforms.
- Experience building workflow automation, notifications, approval pipelines, or scheduled processes.
- Experience with services such as Auth0, Twilio, Stripe, SendGrid, DocuSign, CRM platforms, or equivalent systems is a plus.
Nice to Have
- Experience working with both Node.js and .NET Core.
- Experience with AWS and Azure.
- Experience with GraphQL, WebSockets, or real-time dashboards.
- Experience with authentication standards such as OAuth/OIDC, SAML, JWT, or MFA.
- Experience leading a small engineering team or owning technical architecture.
- Experience taking AI features from prototype to production.
What We Value
- Strong ownership and ability to take features from idea to production.
- Ability to make pragmatic technical decisions and communicate trade-offs clearly.
- Proactive problem solving and willingness to investigate issues independently.
- Ability to work across frontend, backend, cloud, and AI layers when required.
- Focus on building reliable, maintainable, and production-ready software.
