Senior Full Stack AI Engineer

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.

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.

Disclaimer: This job posting 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.