AI Engineering Intern

EasyPlace; Bengaluru; Hybrid; INR 180,000 - 300,000; Full time

Job summary

Zycus in Bengaluru is offering an AI Engineering Intern role to explore the Merlin AI ecosystem, build small prototypes, and automate support, implementation, and customer‑success workflows. You will collaborate with senior leaders and cross‑functional teams to identify friction points and design low‑code solutions for concrete efficiency gains.

You'll gain hands‑on experience with Python, APIs, JSON data handling, and Gen‑AI tools such as LangChain, LlamaIndex, and OpenAI APIs, while

Qualifications

• Current or recent BE/BTech in Computer Science, Data Science, or related field.
• Basic understanding of AI/ML concepts and experience with Python, APIs, and JSON data handling.
• Familiarity with low‑code or notebook environments for rapid prototyping.
• Strong analytical and problem‑solving skills, with the ability to translate business problems into technical solutions.
• Good communication skills to document findings and present demos to non‑technical stakeholders.

Responsibilities

• Map existing support and implementation processes to spot automation opportunities and document findings in a shared backlog.
• Build rapid prototypes—chatbots, workflow automations, or dashboards—using Python, APIs, JSON data handling, and low‑code platforms, then validate them with internal stakeholders.
• Deploy pilot solutions, monitor usage metrics, collect qualitative feedback, and refine the prototype based on real‑world data.
• Create concise documentation, prompt libraries, and demo scripts that enable easy scaling of successful pilots across the organization.
• Stay current with emerging Gen‑AI tools (LangChain, LlamaIndex, OpenAI APIs) and propose how they can solve identified pain points.

Skills

Python

APIs

JSON

Low-code

LangChain

LlamaIndex

OpenAI APIs

Education

BE/BTech in CS or Data Science

Tools

Notebook environments

Job description

About the Role

As an AI Engineering Intern at Zycus, you will dive into the company’s Merlin AI ecosystem, building small‑scale prototypes that automate support, implementation, and customer‑success workflows. You’ll collaborate with senior leaders and cross‑functional teams to identify friction points, design low‑code solutions, and iterate pilots that bring tangible efficiency gains.

Key Responsibilities

• Map existing support and implementation processes to spot automation opportunities and document findings in a shared backlog.
• Build rapid prototypes—chatbots, workflow automations, or dashboards—using Python, APIs, JSON, and low‑code platforms, then validate them with internal stakeholders.
• Deploy pilot solutions, monitor usage metrics, collect qualitative feedback, and refine the prototype based on real‑world data.
• Create concise documentation, prompt libraries, and demo scripts that enable easy scaling of successful pilots across the organization.
• Stay current with emerging Gen‑AI tools (LangChain, LlamaIndex, OpenAI APIs) and propose how they can solve identified pain points.
• Collaborate with Delivery, Support, and Customer Success teams to align AI initiatives with business objectives and user needs.
• Prepare internal knowledge‑sharing sessions, showcasing pilot outcomes and best practices to foster a culture of AI experimentation.

Skills & Qualifications

• Current or recent B.E./B.Tech. graduate in Computer Science, Data Science, or related field.
• Basic understanding of AI/ML concepts and experience with Python, APIs, and JSON data handling.
• Familiarity with low‑code or notebook environments for rapid prototyping.
• Strong analytical and problem‑solving skills, with the ability to translate business problems into technical solutions.
• Good communication skills to document findings and present demos to non‑technical stakeholders.
• Exposure to LangChain, LlamaIndex, or OpenAI APIs is a plus.
• Experience with SaaS or customer‑facing operations (support, success) is desirable.

What You’ll Learn

In this internship, you’ll gain hands‑on experience building AI‑driven tools that directly impact enterprise procurement workflows. You’ll learn how to translate business pain points into technical prototypes, iterate based on real‑time feedback, and scale solutions in a SaaS environment. Exposure to cross‑functional collaboration will sharpen your stakeholder‑management skills, while working with cutting‑edge Gen‑AI frameworks will keep your technical toolkit current.

Resume Tip

Include a link to a GitHub repo or a live demo of a small AI prototype you built (e.g., a chatbot or a data‑visualization dashboard) and describe the business problem it solves. This concrete evidence of your ability to deliver end‑to‑end solutions will set you apart from other fresher candidates.