Back to Browse Jobs
DigitalXNode
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Noida · On-site · 1-4 Yrs · Sep 28
2 views
51 to 200 Employees · New Delhi, India
8 open roles3 posted in 7d8 in 30d
Work-life balance 2.7Compensation & benefits 2.3Culture & values 2.7
Hiring: Engineering
What employees say
+ there is no pros for this company
− they cheat with people by not giving salary and commissions they take work and never pay any amount
More reviews on the company profile.
Job description
Overview
We are looking for a passionate and technically skilled AI System Engineer with 1–3 years of experience to join our growing technology team.
Responsibilities
- Design, develop, and optimize AI and machine learning models for various business applications
- Build and maintain scalable backend systems and AI-driven applications
- Support the integration of AI solutions into existing software platforms and enterprise systems
- Develop and manage data pipelines, APIs, and automation workflows for AI processing
- Collaborate with cross-functional teams including developers, engineers, and product teams to deliver AI-enabled solutions
- Research and implement modern AI technologies, frameworks, and machine learning techniques
- Participate in software development lifecycle activities including planning, coding, testing, deployment, and maintenance
- Write clean, maintainable, and reusable code following software engineering best practices
- Improve application performance, scalability, and system reliability
- Work with cloud platforms such as AWS or Google Cloud Platform (GCP) for AI deployment and infrastructure management
- Troubleshoot technical issues, debug applications, and provide production support when required
- Assist in optimizing AI workflows, backend services, and cloud-based applications
- Contribute to system architecture discussions and technical decision-making processes
- Monitor and maintain AI applications and backend services for smooth operations
- Document technical workflows, development processes, and implementation details
- Stay updated with the latest trends and advancements in AI, machine learning, cloud computing, and software engineering
Qualifications
- Strong understanding of artificial intelligence, machine learning, and deep learning concepts
- Knowledge of machine learning algorithms, neural networks, and AI model development
- Proficiency in programming languages such as Python, Java, C++, or C#
- Familiarity with cloud platforms including AWS or Google Cloud Platform (GCP)
- Understanding of scalable system architecture, distributed systems, and cloud-native applications
- Knowledge of databases, data pipelines, and data processing workflows
- Strong analytical thinking and problem-solving abilities
- Good understanding of software development principles and coding standards
- Ability to work independently as well as collaboratively in a team environment
- Good verbal and written communication skills
- Strong attention to detail and ability to manage multiple tasks effectively
- Passion for learning new technologies and adapting to modern development practices
- Familiarity with machine learning frameworks and AI tools such as TensorFlow, PyTorch, or Scikit-learn
- Exposure to AI model deployment and MLOps workflows
- Knowledge of cloud-native application development and microservices architecture
- Understanding of DevOps concepts, CI/CD pipelines, and automation tools
- Familiarity with Docker, Kubernetes, or containerized environments
- Exposure to scalable distributed systems and enterprise application architecture
- Knowledge of code quality tools, testing frameworks, and debugging techniques
- Interest in AI research, intelligent automation, and data-driven technologies
- Understanding of version control systems such as Git
Education
- B.Tech / BCA / MCA / B.Sc. in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or Equivalent Qualification
- Technology: Python AWS REST APIs TensorFlow AWS or Google Cloud Backend
- Job Type: Full Time
- Job Location: Delhi Noida
- Work Mode: Onsite
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 27 October 2026
- How do I apply for AI System Engineer at DigitalXNode?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. DigitalXNode may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI System Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI System Engineer remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI System Engineer role at DigitalXNode?
- This is a mid-level AI System Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.