Zycus: AI Engineer – Intern

Job Description

Zycus is hiring an AI Engineer – Intern in Bangalore for an exciting early-career opportunity focused on artificial intelligence, generative AI, automation, and intelligent business solutions. This full-time hybrid role is suitable for 2026 engineering graduates and candidates with 0–1 years of experience who are interested in applying AI technologies to real-world business problems. Zycus operates in the Source-to-Pay procurement software space and uses its AI-powered Merlin platform to help enterprises improve procurement efficiency, automation, compliance, and decision-making. As an AI Engineer Intern, candidates will work closely with senior leaders and global teams across implementation, support, customer success, and expansion functions, gaining practical exposure to AI adoption and enterprise technology applications.

The role focuses heavily on AI experimentation, process discovery, rapid prototyping, and workflow automation. Interns will help identify inefficiencies across support, implementation, and customer success workflows and contribute ideas for AI-powered improvements. Candidates may develop small-scale prototypes such as chatbots, workflow automations, dashboards, and other practical solutions using low-code tools, Python, notebooks, APIs, or related technologies. The position provides an opportunity to explore modern AI and Gen-AI approaches while testing ideas with internal teams and validating their business value. Candidates with familiarity with Python, APIs, JSON, data handling, AI/ML concepts, or automation tools will be well positioned to contribute to these initiatives and develop their technical skills through hands-on experimentation.

The AI Engineer Intern at Zycus will also support pilot deployments, monitor basic usage metrics, gather feedback, and help improve AI-driven solutions based on real user experiences. Documentation and knowledge sharing are important components of the role, with interns contributing to prompt libraries, reports, demos, internal documentation, and knowledge-transfer materials. Exposure to technologies such as LangChain, LlamaIndex, OpenAI APIs, chatbots, AI agents, and automation frameworks can provide an additional advantage. Working with global Delivery, Support, and Customer Success teams will help candidates understand how AI can improve customer-facing operations within a SaaS environment. For 2026 graduates passionate about artificial intelligence, GenAI, automation, and practical problem-solving, this internship offers meaningful exposure to enterprise AI applications and cross-functional collaboration.

Roles & Responsibilities

1. Discover Business Processes: Assist in analyzing support, implementation, customer success, and other operational workflows to identify inefficiencies, repetitive activities, and opportunities for AI-driven improvements.
2. Map AI Opportunities: Contribute to maintaining a structured backlog of AI and automation ideas by documenting potential use cases and helping teams prioritize opportunities based on business value.
3. Build AI Prototypes: Support the development of small-scale AI prototypes such as chatbots, workflow automation tools, dashboards, and experimental solutions using Python, notebooks, or low-code platforms.
4. Experiment With GenAI: Explore generative AI, AI agents, automation tools, and emerging technologies to identify practical approaches for solving real-world operational and customer-facing challenges.
5. Validate Use Cases: Collaborate with team members to test AI concepts and prototypes, evaluate whether they solve the intended problem, and document observations from experiments.
6. Support Pilot Deployments: Assist in deploying AI and automation pilots with internal teams, monitoring basic usage, collecting feedback, and helping identify issues that require further improvement.
7. Track Pilot Performance: Collect basic usage information and relevant metrics from pilot solutions to help teams understand adoption, effectiveness, and areas where further iteration may be necessary.
8. Create Documentation: Prepare clear documentation, prompt libraries, reports, process notes, and other knowledge resources that can help teams understand and reuse successful AI solutions.
9. Prepare Demos & Presentations: Assist in creating demonstrations, internal presentations, and knowledge-sharing sessions that communicate AI use cases, prototypes, results, and potential business benefits.
10. Research Emerging AI Tools: Stay informed about new AI, GenAI, agentic AI, automation, API, and productivity tools and evaluate their potential relevance to business workflows.
11. Collaborate Globally: Work with Delivery, Support, Customer Success, implementation, and other international teams to understand business requirements and contribute to cross-functional AI initiatives.
12. Support Continuous Improvement: Gather feedback from stakeholders and users, identify opportunities for enhancement, and help iterate AI solutions so successful pilots can become scalable business capabilities.

Requirements & Eligibility

1. Educational Qualification: Candidates should be BE 2026 graduates or students/recent graduates from Engineering, Computer Science, Data Science, Business Analytics, or a closely related field.
2. AI/ML Fundamentals: Candidates should have a basic understanding of Artificial Intelligence and Machine Learning concepts, including familiarity with how AI-based solutions can be applied to practical business problems.
3. Python Knowledge: Basic knowledge of Python is preferred for prototyping, data handling, experimentation, automation, notebooks, and developing early-stage AI solutions.
4. API & Data Skills: Familiarity with APIs, JSON, and data handling through academic coursework, personal projects, internships, or practical experimentation will be useful for building connected AI applications.
5. Automation Awareness: Candidates should understand basic automation concepts and demonstrate an interest in using technology to simplify repetitive workflows and improve business processes.
6. Problem-Solving Ability: Strong analytical thinking and problem-solving skills are important because the role requires identifying real-world inefficiencies and experimenting with practical technology-driven solutions.
7. Communication Skills: Good written and verbal communication skills are essential for collaborating with global teams, understanding requirements, presenting ideas, collecting feedback, and preparing technical documentation.
8. AI Framework Exposure: Familiarity with LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks is an advantage and can help candidates contribute more effectively to GenAI and agentic AI experiments.
9. Project Experience: Academic or personal projects involving AI, chatbots, automation, data analytics, or AI agents can demonstrate practical interest and provide useful hands-on experience for this internship.
10. Learning & Collaboration: Candidates should be curious, adaptable, eager to learn emerging technologies, comfortable experimenting with new tools, and willing to collaborate with cross-functional and international stakeholders.

Expected Salary

The provided job posting does not specify a stipend or salary for the Zycus AI Engineer – Intern position. For AI/ML internships in Bangalore, an indicative market range can be approximately ₹15,000 to ₹35,000 per month, although the actual stipend offered by Zycus may differ based on its internal internship compensation structure, candidate profile, and employment terms.

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