Cornerstone AI Engineer role is an exciting opportunity for professionals passionate about artificial intelligence, machine learning, and real-world AI applications. This office-based role in Hyderabad allows you to work on enterprise-scale AI systems that directly impact how organizations learn, grow, and manage talent globally 🌍
If you are curious, motivated, and eager to work on large language models, recommender systems, and generative AI, this role offers hands-on exposure within a modern SaaS ecosystem alongside experienced engineers.
About Cornerstone
Cornerstone is a global leader in AI-powered workforce agility solutions. Its flagship platform, Cornerstone Galaxy, helps organizations identify skill gaps, retain talent, and deliver personalized learning experiences at scale.
Trusted by 7,000+ organizations and 100 million+ users across 180+ countries, Cornerstone operates in nearly 50 languages, empowering businesses to build future-ready teams. The company blends innovation, data, and AI to shape the future of work 🚀
Role Overview
As an AI Engineer at Cornerstone, you will contribute to the development and deployment of intelligent features within the Galaxy ecosystem. This role focuses on applied AI rather than just theory, giving you exposure to enterprise-grade machine learning systems.
You’ll work closely with senior engineers on projects involving NLP, generative AI, recommendation systems, visualization, and MLOps, while participating in Agile development processes.
Key Responsibilities
- Support the design, development, and testing of AI-driven features
- Work on NLP, recommender systems, generative AI, and data visualization projects
- Collect, clean, and prepare datasets for model training and evaluation
- Experiment with AI frameworks like TensorFlow, PyTorch, Hugging Face
- Use visualization tools such as Matplotlib, Seaborn, and Plotly
- Learn and apply MLOps concepts including deployment, monitoring, and retraining
- Write clean, maintainable, and well-documented Python code
- Create clear visualizations to explain model performance and insights
- Participate in Agile ceremonies, demos, and technical discussions
- Research and explore new AI tools, libraries, and techniques
Help a friend land their next role. Share now!
Skills & Qualifications
Required Skills
- Strong knowledge of machine learning concepts
- Proficiency in Python programming
- Understanding of data preparation, model evaluation, and visualization
- Ability to collaborate in a fast-paced engineering environment
- Strong communication and problem-solving skills
Preferred Skills
- Experience with TensorFlow, PyTorch, or Scikit-Learn
- Exposure to LLMs, Generative AI, or recommendation systems
- Familiarity with enterprise AI or SaaS platforms
- Interest in MLOps and scalable AI deployments
Who Can Apply
| Criteria | Details |
|---|---|
| Education | Bachelor’s or Master’s in Computer Science or related field |
| Experience | AI Engineering / ML experience preferred |
| Job Type | Full-Time |
| Work Mode | Office-Based |
| Location | Hyderabad, India |
Expected Salary 💰
The expected salary for Cornerstone AI Engineer in Hyderabad is:
- ₹12 LPA – ₹25 LPA (approx.)
Actual compensation may vary based on experience, skills, and interview performance, along with company policies and benefits.
Follow us on 
LinkedIn for the latest updates
Follow us on 
Threads for the latest updates
Subscribe ▶️ YouTube Channel for Latest Updates
Work Location & Model
- Location: Hyderabad, India
- Work Model: Office-Based (#LI-Onsite)
- Employment Type: Full-Time
This role is ideal for candidates who enjoy working closely with teams in a collaborative office environment.
What You’ll Get
- Opportunity to work on cutting-edge AI and ML systems
- Hands-on experience with LLMs and generative AI
- Exposure to enterprise-scale SaaS products
- Collaborative work environment with experienced engineers
- Career growth in one of the fastest-evolving tech domains
How to Apply
Interested candidates should apply by clicking the Apply button below.
Before applying:
- Highlight AI, ML, or Python-based projects
- Mention experience with NLP, LLMs, or recommendation systems
- Showcase internships, research, or personal AI projects
- Keep your resume concise and technically focused
Early applications are encouraged for better visibility 👨💻👩💻
Disclaimer
This job information is collected from official and public sources. We do not charge any fees for job applications and do not guarantee recruitment. Candidates should verify details from the official company website. We are not responsible for any loss arising from reliance on this information.
Share the opportunity