The Role
Design and deliver scalable full-stack applications across frontend, backend, databases, cloud, and production operations. Build AI-powered features using LLMs, agents, RAG, vector search, and tool calling. Develop secure APIs, integrations, automation workflows, and reliable data-access layers. Lead technical decisions, testing, monitoring, architecture, code reviews, and engineering standards while mentoring engineers and collaborating with product and business stakeholders.
Summary Generated by Built In
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.
- 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.
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Skills Required
- Strong experience with React.js and TypeScript
- Hands-on experience with Next.js and modern frontend architecture
- Experience with state management, API integration, responsive UI development, and frontend testing
- Strong backend development experience with Node.js/Express or C#/.NET Core
- REST API design and development experience
- Backend application architecture and service design experience
- Experience with microservices or modular application architecture
- Experience with authentication, authorization, security, and API documentation
- Experience with background jobs, scheduled workflows, or serverless functions
- Hands-on experience building applications with LLMs and Generative AI
- Experience building AI agents and agentic workflows
- Experience with Retrieval-Augmented Generation (RAG)
- Experience with vector databases and semantic search
- Experience with LLM tool/function calling and external system integrations
- Experience with AI application frameworks or 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
- Strong SQL and relational database fundamentals
- Experience with PostgreSQL or Microsoft SQL Server
- Experience with database schema design, indexing, query optimization, and ORM/data-access patterns
- Hands-on experience with AWS or Azure
- Understanding of CI/CD, logging, monitoring, and production troubleshooting
- Understanding of scalable application architecture and clean coding practices
- Experience with automated testing and test-driven development practices where appropriate
- Experience with Git, code reviews, technical documentation, and collaborative development
- Experience integrating external APIs, webhooks, and SaaS platforms
- Experience building workflow automation, notifications, approval pipelines, or scheduled processes
- Experience with both Node.js and .NET Core
- Experience with both AWS and Azure
- Experience with GraphQL, WebSockets, or real-time dashboards
- Experience with OAuth/OIDC, SAML, JWT, or MFA
- Experience leading a small engineering team or owning technical architecture
- Experience taking AI features from prototype to production
- Experience with NoSQL databases such as DynamoDB or Cosmos DB
- Experience with Auth0, Twilio, Stripe, SendGrid, DocuSign, CRM platforms, or equivalent systems
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The Company
What We Do
Coditude stands out as a rapidly growing force in the digital realm, offering straightforward, impactful tech capabilities. Our team, both seasoned and savvy, is the perfect ally to thrive in the digital age. We excel in Product Development, SaaS Solutions, Enterprise Mobile Applications, AI, Cloud Solutions, Browser Extension Development, and Digital Commerce Solutions, not to mention our prowess in Infrastructure Modernization and Management
