Ai Full Stack Engineer Haryana

Ai Full Stack Engineer Haryana

31 Jul
|
TEKnuova
|
Haryana

31 Jul

TEKnuova

Haryana

About the Role

We are looking for an AI Full Stack Engineer to build intelligent, scalable, and user-friendly applications powered by contemporary AI technologies. You will work across frontend, backend, APIs, and AI integrations to deliver production-ready solutions that solve real business problems.

Key Responsibilities
Design, develop, and maintain full stack web applications using contemporary frontend and backend technologies.
Integrate AI/ML capabilities, LLM APIs, embeddings, vector databases, and automation workflows into applications.
Build reusable APIs, microservices, and backend components with secure and scalable architecture.
Develop responsive, accessible, and performant user interfaces.
Collaborate with product managers, designers, data scientists, architects, and DevOps teams.
Write clean, maintainable, testable code and participate in code reviews.
Troubleshoot production issues and improve application performance, reliability, and security.
Stay updated with emerging AI engineering practices and apply them where relevant.

Must-Have Skills
2 to 5 years of experience in full stack software development.




Solid experience with JavaScript/TypeScript and frameworks such as React, Angular, or Vue.
Backend development experience using Node.js, Python, Java, or similar technologies.
Hands-on experience with REST APIs and/or GraphQL.
Basic to intermediate understanding of AI/ML concepts, LLMs, prompt engineering, or AI API integration.
Experience with databases such as PostgreSQL, MySQL, MongoDB, or similar.
Familiarity with Git, CI/CD, testing, and agile development practices.

Nice-to-Have Skills
Experience with OpenAI, Azure OpenAI, LangChain, LlamaIndex, Hugging Face, or similar AI frameworks.
Knowledge of vector databases such as Pinecone, FAISS, Weaviate, Milvus, or Azure AI Search.
Experience with cloud platforms such as AWS, Azure, or GCP.
Understanding of Docker, Kubernetes, or serverless deployment.
Exposure to RAG-based applications, chatbots, copilots, or AI agents.
Basic understanding of security, authentication, and data privacy principles

📌 Ai Full Stack Engineer Haryana
🏢 TEKnuova
📍 Haryana

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