Zycus Hiring AI Engineer Intern in Bangalore | Hybrid
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Job description
What you’ll do in this role
Job Overview
Zycus is hiring an AI Engineer Intern for its Bangalore team, with a hybrid work arrangement. The listing specifies 0–1 years of experience and identifies the department as US Delivery. The role is suited to an early-career candidate interested in applying artificial intelligence, machine learning, generative AI, and automation to practical business workflows.
Zycus develops Source-to-Pay (S2P) procurement software for enterprise customers. Its Merlin AI platform supports intelligent automation and insights across procurement-related activities. In this internship, the work described focuses on exploring AI-enabled improvements for post-sales functions such as implementation, support, and customer success.
Key Responsibilities
Discover Processes and Identify Opportunities
- Review workflows across support, implementation, and customer success to help identify delays, repetitive tasks, and other points of friction.
- Help document possible AI and automation use cases and maintain a backlog of ideas for further evaluation.
- Work with stakeholders to understand operational needs before proposing potential AI-assisted improvements.
Build and Test Prototypes
- Assist with small prototypes such as chatbots, workflow automations, dashboards, and notebook-based experiments.
- Use low-code tools or Python where appropriate to test whether an idea can address a defined business problem.
- Collaborate with team members to experiment with possible solutions and validate their usefulness.
Support Pilots and Improve Solutions
- Help deploy and monitor pilot solutions with internal teams.
- Collect user feedback and track basic usage metrics to understand how a pilot performs.
- Support iterative improvements based on observations, feedback, and the needs of the teams using the solution.
Document and Share Knowledge
- Assist in preparing demonstrations, reports, and internal knowledge-sharing materials.
- Help maintain simple documentation and prompt libraries that can support the reuse and scaling of successful experiments.
- Follow developments in AI tools and approaches that may be relevant to the team's work.
Collaborate Across Teams
- Work with colleagues across Delivery, Support, and Customer Success to understand business requirements.
- Contribute to AI initiatives involving global stakeholders and help communicate findings in a clear, practical way.
Required Skills
- Basic understanding of artificial intelligence, machine learning, or automation concepts.
- Familiarity with Python, APIs, JSON, or data handling through academic work, personal projects, or other practical exposure.
- Problem-solving skills and the ability to communicate ideas and findings clearly.
- Willingness to experiment, learn new tools, and work collaboratively with different teams.
Preferred Skills
- Exposure to frameworks or services such as LangChain, LlamaIndex, or OpenAI APIs.
- Coursework or projects involving AI, data analytics, or automation.
- Understanding of SaaS products or customer-facing business operations, such as support or customer success.
- Personal projects, GitHub work, hackathon participation, or other activities involving AI, chatbots, or automation.
- Participation in AI communities, competitions, or meetups.
Education and Eligibility
The listing specifies B.E. 2026 graduates and also describes candidates currently pursuing or recently completing an engineering, Computer Science, Data Science, Business Analytics, or related degree. The stated eligibility should be checked carefully against the employer's application questions. The role is intended for candidates with an early-career profile who can demonstrate foundational AI or automation knowledge and familiarity with relevant technical concepts.
Experience
The job listing states an experience range of 0–1 years. Candidates may be able to demonstrate relevant exposure through coursework, academic assignments, independent projects, or practical experimentation, as the listed skills may be developed through project-based learning.
Technologies and Tools
- Python – listed as a way to support prototype development and experimentation.
- APIs – familiarity with APIs is part of the stated technical background.
- JSON – listed among the data-related concepts candidates should know.
- Machine Learning – foundational understanding is required.
- LangChain and LlamaIndex – mentioned as useful exposure, not mandatory requirements.
- OpenAI APIs – cited as an example of a relevant AI service or tool.
- Generative AI and agentic tools – relevant areas for experimentation within the role.
Work Mode and Location
The position is based in Bangalore and is listed as hybrid. The department is US Delivery. The provided listing does not specify a salary or application deadline.
About Zycus
Zycus provides enterprise Source-to-Pay procurement software. Its Merlin Agentic Platform is described as using AI agents to support automation across procurement-related processes, including intake, negotiations, contract management, and accounts payable. The company works with enterprise customers and teams across North America, EMEA, and APAC.
Who Should Apply
This opportunity may suit a 2026 B.E. graduate or an eligible student with foundational AI/ML knowledge, familiarity with Python or data handling, and an interest in practical automation. Applicants can highlight projects that show how they explored a problem, tested an idea, evaluated results, and documented what they learned. Examples involving chatbots, AI APIs, data analytics, or workflow automation are particularly relevant to the skills described in the listing.
How to Apply
Review the employer's eligibility criteria and prepare a resume that clearly presents relevant education, technical skills, and academic or personal projects. The application page requests a resume in DOCX or PDF format with a maximum file size of 5 MB.
Apply now through SoftoJobs to explore this opportunity.
Eligibility
Education, passing batch and experience
Education
B.E. — Computer Science Engineering / Computer Science / Information Technology / Computer Engineering / Information Science / Software Engineering / Artificial Intelligence / Artificial Intelligence and Machine Learning / Machine Learning / Data Science / Cyber Security / Information Systems · B.Tech — Computer Science Engineering / Computer Science / Information Technology / Computer Engineering / Information Science / Software Engineering / Artificial Intelligence / Artificial Intelligence and Machine Learning / Machine Learning / Data Science / Cyber Security / Information Systems
Passing Batch
2026, 2025
Experience
0 - 1 years (Freshers welcome)
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