AI Engineer

embIND Embitel Technologies (India) Private Limited; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

embIND Embitel Technologies (India) Private Limited is seeking a Generative AI Engineer to develop and implement AI applications using large language models. You will utilize your expertise in Python and LangChain to innovate scalable AI solutions.

This role involves collaboration with data scientists and software engineers to ensure high-performance AI systems. We require a Bachelor’s or Master’s degree in a related field, along with proven experience in advanced Python programming and generative AI.

Qualifications

• Proven experience in advanced Python programming and developing AI models.
• Strong expertise in LangChain and its applications in generative AI.
• Solid understanding of large language models (LLMs) and their implementation.

Responsibilities

• Develop and implement AI applications using LLMs with Python and LangChain or any agent framework.
• Design, build, and optimize machine learning algorithms for generative AI applications.
• Collaborate with various teams to create robust AI-driven applications.

Skills

Python programming

LangChain

Machine Learning algorithms

Natural Language Processing (NLP)

Data preprocessing

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Scikit-learn

TensorFlow

PyTorch

Job description

Generative AI Engineer

As a Generative AI Engineer, you will be responsible for developing and implementing applications using large language models (LLMs). Your expertise in Python and LangChain will be essential in creating scalable, efficient, and innovative AI solutions. You will work closely with cross‑functional teams to design, develop, and deploy state‑of‑the‑art AI systems.

Responsibilities

• Develop and implement AI applications using LLMs with Python and LangChain or any agent framework.
• Design, build, and optimize machine learning algorithms for generative AI applications.
• Collaborate with data scientists, software engineers, and product managers to create robust AI‑driven applications.
• Conduct research to stay updated with the latest advancements in generative AI and LLMs.
• Analyze and preprocess large datasets to ensure high‑quality input for model training.
• Evaluate and fine‑tune models to achieve optimal performance and accuracy.
• Write clean, maintainable, and efficient code adhering to best practices.
• Participate in code reviews and provide constructive feedback to team members.
• Document technical specifications, processes, and model performance metrics.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in advanced Python programming and developing AI models.
• Strong expertise in LangChain and its applications in generative AI.
• Solid understanding of large language models (LLMs) and their implementation.
• Experience with deep learning frameworks such as Scikit‑learn, TensorFlow, or PyTorch.
• Familiarity with natural language processing (NLP) techniques and tools.
• Ability to work with large datasets and perform data preprocessing and analysis.
• Hands‑on working experience in frontend and backend systems.
• Experience training ML models and fine‑tuning LLMs.
• Good to have experience in automotive domain.