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Coditude · Pune/Pimpri-Chinchwad Area

Senior Full Stack AI Engineer

seniorfull timePosted Aug 15
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Stack mentioned

reacttypescriptnext.jsnode.jsc#.netllmagentic-airagawsazuremicroservicesserverlesslangchainsqlpostgresqlnosqldynamodbdevopsci/cd

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.

Required Skills

- NET Core / .NET 8 Next.js / React / Python C# / .NET Core & .NET 8

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