# GenAi engineer

**at [abc](https://jobs.curriculo.me/abc)**

> <!-- cr:role-start --> Generative AI Engineer Intern – ABC CompanyRole OverviewWork on building and deploying Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI automation to solve real-world business problems.Key Responsi…

## Details

- **Type:** Full time
- **Location:** Banglore
- **Posted:** 2026-10-18
- **Reference:** HbUQaf
- **Status:** OPEN
- **Canonical URL:** https://jobs.curriculo.me/abc/job/cda5446a-95b9-4840-b5df-64b5e20d8641

## Description

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# Generative AI Engineer Intern – ABC Company

**Role Overview**

Work on building and deploying Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI automation to solve real-world business problems.

**Key Responsibilities**

- Develop and integrate LLM-powered applications using APIs such as OpenAI, Gemini, and Groq.
- Build RAG pipelines using vector databases, embeddings, and semantic search.
- Develop AI agents and automated workflows using frameworks such as LangChain and LangGraph.
- Perform prompt engineering, model evaluation, and output quality testing using LLM-as-a-Judge and evaluation frameworks.
- Work with APIs, Python, and backend frameworks to integrate AI solutions into applications.
- Deploy AI applications using platforms such as Hugging Face Spaces, Vercel, or cloud services.
- Collaborate with cross-functional teams to identify use cases and improve AI application performance.

**Required Skills**

- Python programming and API integration.
- Understanding of LLMs, prompt engineering, embeddings, and RAG.
- Familiarity with LangChain, LangGraph, and vector databases such as ChromaDB.
- Knowledge of Git, REST APIs, and application deployment.
- Strong problem-solving, analytical, and debugging skills.

**Learning Opportunities**

Gain hands-on experience in building production-ready GenAI applications, AI agents, RAG systems, model evaluation, and end-to-end AI solution development.

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## Apply

Apply at the canonical URL: https://jobs.curriculo.me/abc/job/cda5446a-95b9-4840-b5df-64b5e20d8641#apply
Apply via email: [engg+HbUQaf@curriculo.me](mailto:engg+HbUQaf@curriculo.me)

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