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Company Site

GD Interns

Zycus
Mumbai, IND
Internship
Entry · 0+ years experience
Hybrid
INR 25000-25000 monthly / month
Discovered 1 months ago
PythonJavaChatGPTCopilotAWSGCP

Full Job Posting

Job Description

Zycus is hiring 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

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

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
  • 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)

What You’ll Gain

Exposure to GenAI applications across business + tech functions

Hands-on experience in enterprise SaaS environment

Opportunity to work on real-world AI use cases impacting customers and internal teams

Mentorship from leaders across AI, Product, Engineering, and Business functions

Pathway to a full-time role at Zycus

Walk In Drive Detail Walk In Drive Date: Saturday , May 9th, 2026 Time: 10:000 AM to 4:00 PM Venue: Zycus Infotech Pvt Ltd. Plot No GJ-07, SEEPZ++, SEEPZ, MIDC, Andheri East, Mumbai MH 400096. Note: 1. Candidates need to apply for the job online before the Walk-in ( https://zycus.talismatic.com/jobs/JE5VTQZV2 ) 2. Carry your resume, 1 color passport size photograph and Aadhar Card copy along with the original 3. Our office is in a high-security zone, and you will need a gatepass therefore candidates are requested to email below documents in advance for gate pass to " [email protected] " and " [email protected] " Closet Entry: SEEPZ, Gate no -3 , Reception – Contact: 022 - 66407676 Documents for gate pass 1. Copy of Aadhar Card 2. Passport Size Photographs 3. Contact Number 4. email Address

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