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Full Stack Software Engineer

Xoriant CorporationSan Jose, CA🇺🇸United StatesPosted 23 Jul 2026

Why This Role Stands Out

This role offers exciting opportunities to develop scalable applications and integrate cutting-edge AI/ML technologies, perfect for a mid-senior engineer eager to expand their full-stack expertise. You'll contribute to innovative projects within a reputable company, so seize this chance to advance your career!

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Job Title: Full Stack Software Engineer

Location: San Jose, CA (Onsite, 5 days/week)

Duration: 6+ months contract

 

Description

Full Stack Software Developer with 4+ years of experience, in developing scalable, efficient, and reliable software applications. The candidate should have a strong background in computer science, software engineering, and experience with AI/ML technologies. The successful candidate will be responsible for designing, developing, testing, and deploying software applications across the full stack, including front-end, back-end, and databases. They will also be expected to work on integrating AI/ML models into our applications.

 

Roles and Responsibilities:

1. Full Stack Development:

o Design, develop, test, and deploy full-stack software applications.

o Front-end development using HTML5, CSS3, JavaScript, and ReactJS.

o Back-end development using NodeJS, Python(Django, FastAPI), Laravel (PHP)

o Database design and implementation (Postgres and NoSQL).

2. AI/ML Integration:

o Integrate AI/ML models into our applications.

3. Collaboration:

o Work with cross-functional teams to identify requirements and deliver high-quality solutions.

o Collaborate with DevOps to ensure smooth application deployment.

 

Technical Requirements:

1. Proficiency in Python and Node JS.

2. Experience with full-stack development frameworks.

3. Knowledge of Postgres and NoSQL databases.

4. Familiarity with machine learning algorithms (supervised/unsupervised).

5. Experience with AI/ML frameworks (TensorFlow/PyTorch/Keras).

 

Good to Have:

1. Experience with containerization (Docker/Kubernetes).

2. Familiarity with DevOps tools (Jenkins CI

Skills

Django
Docker
FastAPI
PHP
Machine Learning
JavaScript
Jenkins
Keras
Kubernetes
Laravel
PyTorch
Python
TensorFlow

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