wiingy
Website:
wiingy.com
Job details:
Role: AI Engineer (Generative AI)
Location: Bengaluru (On-site)
Company: Wiingy
Type: Internship with Full-Time Conversion Opportunity
About the RoleWe are looking for a motivated and curious GenAI Engineer Intern to join our technology team at Wiingy, with the opportunity to transition into a full-time role based on performance.
In this role, you’ll work on building real-world AI systems such as task-based chatbots, AI-powered support query resolvers, and Retrieval-Augmented Generation (RAG) pipelines using LangChain and Qdrant. You’ll collaborate closely with our engineering and product teams to design, build, and deploy scalable AI-driven solutions.
This is a hands-on role ideal for someone who loves problem-solving, experimenting with LLMs, and building practical AI applications.
What You’ll Work On
Generative AI & RAG Systems- Build Retrieval-Augmented Generation (RAG) systems using LangChain and Qdrant.
- Implement context-aware AI systems that answer user queries based on stored knowledge.
- Design document ingestion, embedding pipelines, and query retrieval workflows.
AI-Powered Chatbots- Develop task-based chatbots and support query resolver bots.
- Implement conversational flows using LLMs such as LLaMA.
- Improve response accuracy, relevance, and latency through prompt tuning and retrieval optimization.
AI Agents & Prompt Engineering- Design, test, and refine prompts for different use cases.
- Build and manage AI agents for task automation and workflow execution.
- Experiment with tool usage, memory, and multi-step reasoning in agents.
Backend & Data Integration- Integrate AI systems with Python-based backends, APIs, and MySQL databases.
- Work with structured and unstructured data sources.
- Collaborate with backend engineers to deploy AI features into production systems.
Required SkillsMust-Have
- Strong proficiency in Python
- Basic to intermediate understanding of Generative AI concepts
- Familiarity with LangChain or similar LLM frameworks
- Understanding of Prompt Engineering fundamentals
- Good logical thinking and problem-solving skills
Good to Have
- Experience with RAG architectures
- Familiarity with Qdrant or other vector databases
- Exposure to LLaMA or other open-source LLMs
- Basic knowledge of MySQL and REST APIs
- Prior experience building chatbots or AI tools (projects, internships, hackathons)
Key SkillsPython · LangChain · RAG · Qdrant · Prompt Engineering · LLaMA · MySQL
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