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Nityo Infotech · Santa Clara, CA

AI Enabled Full-Stack Software Engineer

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Stack mentioned

llmmicroservicesobservabilityagentic-aijavascripttypescriptreactangularvuenode.jspythonjava.netrest-apisqlnosqlazureawsgcpgit

AI Enabled Full-Stack Software Engineer (3–5 Years relevant Experience)

Location : Santa Clara, CA(Onsite from Day 1)

No. of open Roles: 5

Key Responsibilities

- Design, develop, test, and deploy full stack applications using modern web technologies.

- Build and integrate AI/LLM-powered capabilities into enterprise applications.

- Develop scalable backend APIs and microservices.

- Create intuitive and responsive frontend experiences.

- Integrate external APIs, databases, and enterprise systems.

- Collaborate with product managers, architects, and cross-functional teams to deliver high-quality solutions.

- Optimize application performance, security, reliability, and observability.

- Participate in code reviews, architecture discussions, and technical design sessions.

- Stay current with emerging AI, agentic frameworks, and software engineering best practices.

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Engineering, or related field.

- 4-8 years of software development experience.

- Strong proficiency in JavaScript/TypeScript.

- Experience with modern frontend frameworks such as React, Angular, or Vue.

- Strong backend development experience using Node.js, Python, Java, or .NET.

- Experience building REST APIs and microservices.

- Hands-on experience with SQL and/or NoSQL databases.

- Experience with cloud platforms such as Azure, AWS, or GCP.

- Knowledge of Git, CI/CD, containerization, and DevOps practices.

AI Experience (Required)

- Experience working with Large Language Models (OpenAI, Azure OpenAI, Anthropic, or open-source models).

- Experience with Retrieval-Augmented Generation (RAG), agents, prompt engineering, or AI orchestration frameworks.

- Familiarity with vector databases and semantic search.

- Experience building generative AI applications for real-world use cases.

Preferred Qualifications

- Experience with Kubernetes and container orchestration.

- Familiarity with AI evaluation frameworks and AI monitoring.

- Experience developing enterprise-scale SaaS applications.

- Exposure to agentic AI platforms and workflow automation.

Technical Skills

Frontend

- React

Backend

- Node.js, Python, but ability to switch between Java & .NET

- REST APIs, Microservices

Cloud & DevOps

- Azure/AWS/GCP

- Docker, Kubernetes

- CI/CD Pipelines

AI & Data

- Azure OpenAI/OpenAI APIs

- RAG, LangChain, Semantic Kernel

- Vector Databases

- Prompt Engineering

- LLM Evaluation & Monitoring

What We're Looking For

- Strong problem-solving and analytical skills.

- Ability to work independently in a fast-paced environment.

- Excellent communication and collaboration skills.

- Passion for AI innovation and modern software engineering.

- Track record of delivering production-quality software.

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