Job Description
Zycus is hiring AI Interns with strong Generative AI acumen to work across multiple business and technology functions. This is not a role limited to SRE or DevOps—interns will be mapped to teams based on their skills, interests, and strengths.
You will get an opportunity to apply GenAI in real-world enterprise scenarios across customer-facing, product, and internal platforms.
Internship Details
- Duration: 6 Months
- Stipend: INR 25,000 per month
- Full-Time Opportunity: High performers will be considered for full-time roles in relevant teams.
Job Description :-
| Company: | Zycus |
| Job Role: | AI Intern |
| Batches: | Recent batch |
| Degree: | Graduate Degree |
| Experience: | Freshers(0–1 year) |
| Location: | Mumbai, India |
| CTC/Salary: | INR 40K-60K/month (Expected) |
Function Allocation (Based on Skills & Fit)
Selected interns will be deployed across one of the following teams:
- Professional Services – AI-driven implementation, automation in delivery
- Customer Success – AI for customer insights, renewals, and engagement
- Technical Support – AI-led ticketing, chatbot enablement, issue resolution
- Spend/Product Team – AI use cases within procurement and SaaS products
- ITIS (Internal IT Systems) – AI for internal automation and productivity
- Zycus University (Training) – AI-driven learning, content generation, enablement
- Engineering (Java Team) – Building AI-integrated enterprise applications
- SRE / DevOps – AI-driven reliability, monitoring, and automation
- Security – AI in threat detection, risk analysis, and compliance
👉 Final team allocation will be based on candidate’s skills, project exposure, and interview performance.
Roles & Responsibilities (Across Functions)
- Work on GenAI-powered use cases relevant to your assigned function
- Assist in building, testing, or optimizing LLM-based applications and workflows
- Use AI tools to automate tasks, improve efficiency, and solve business problems
- Support teams in data analysis, insights generation, and decision support
- Collaborate cross-functionally to drive AI adoption across the organization
- Contribute to process improvement, innovation, and AI experimentation
Eligibility & Skills
Experience:
- Final-year students or recent graduates (0–1 year)
Must-Have Skills
- Basic programming knowledge (Python and/or Java)
- Strong understanding of Generative AI concepts and LLMs
- Familiarity with tools like ChatGPT, Copilot, or similar AI platforms
- Good problem-solving and analytical skills
- Basic understanding of at least one:
- Cloud (AWS/GCP/Azure)
- APIs / system integration
- Linux/Unix
Good-to-Have Skills
- Prompt engineering or AI use-case building
- Exposure to SaaS, enterprise systems, or automation workflows
- Knowledge of Docker/Kubernetes, CI/CD, or microservices
- Understanding of customer lifecycle, support workflows, or training systems
- Version control (Git).
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