Generative AI Engineer

EduRun Group; Indore; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

EduRun Group is seeking a Generative AI Engineer in Indore to design and implement AI models using Generative AI techniques, including language models and retrieval-augmented generation.

You will collaborate with data scientists and software engineers to integrate AI solutions, run experiments, and document findings to advance products and services.

Qualifications

• Proficiency in Python programming.
• Solid understanding of Generative AI, including LLMs.
• Experience with LangChain and LangGraph frameworks.
• Familiarity with Retrieval Augmented Generation (RAG).
• Ability to collaborate and communicate complex ideas.

Responsibilities

• Design and develop AI models using Generative AI techniques, focusing on language models and retrieval-augmented generation.
• Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and workflows.
• Conduct experiments to evaluate AI models and iterate on designs based on findings.
• Stay updated with the latest AI/ML advancements, especially in Generative AI and LLMs.
• Document processes, methodologies, and results to share knowledge within the team.

Skills

Python programming

Generative AI / LLMs

RAG

Team collaboration

Tools

LangChain

LangGraph

Job description

We are seeking a talented Generative AI Engineer to join our innovative team. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop cutting‑edge solutions that utilize Generative AI technologies. You will work closely with cross‑functional teams to design, implement, and optimize AI models that enhance our products and services.

Key Responsibilities

• Design and develop AI models using Generative AI techniques, focusing on applications such as language models and retrieval-augmented generation.
• Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and workflows.
• Conduct experiments to evaluate the performance of AI models and iterate on designs based on findings.
• Stay updated with the latest advancements in AI and machine learning, particularly in the areas of Generative AI and large language models (LLMs).
• Document processes, methodologies, and results to ensure knowledge sharing within the team.

Required Skills

• Proficiency in Python programming language.
• Strong understanding of Generative AI concepts and technologies, including LLMs.
• Experience with frameworks and libraries such as LangChain and LangGraph.
• Familiarity with Retrieval Augmented Generation (RAG) techniques.
• Ability to work collaboratively in a team environment and communicate complex ideas effectively.