Gen AI Engineer

ICC Staffing Services; Bengaluru, Delhi; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

ICC Staffing Services is seeking a Generative AI Engineer to develop and implement AI applications using large language models (LLMs) with Python and LangChain. You will collaborate with cross-functional teams to design, develop, and deploy state-of-the-art AI systems.

You should have strong Python, LangChain, and ML experience, plus familiarity with NLP techniques and deep learning frameworks. The role is in Bengaluru, offering hybrid work with Bangalore-based location and opportunities to work

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in 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 TensorFlow or PyTorch.
• Familiarity with NLP techniques and tools.
• Ability to work with large datasets and perform data preprocessing and analysis.
• Excellent problem-solving skills and a proactive approach to challenges.
• Strong communication skills and ability to work effectively in a collaborative team environment.

Responsibilities

• Develop and implement AI applications using large language models (LLMs) with Python and LangChain.
• 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.

Skills

Python

LangChain

NLP

Data preprocessing

Problem solving

Team collaboration

Communication

Proactive mindset

Education

Bachelor's or Master's in Computer Science/Engineering or related field

Tools

TensorFlow

PyTorch

LangChain

Job description

• As a Generative AI Engineer at MNC, 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.

Location : -

• Banglore / Hybrid
• NCR remote only
• Exp. : - 4-10 yrs
• Notice Period : - Serving Notice Period Only

Key Responsibilities

• Develop and implement AI applications using large language models (LLMs) with Python and LangChain.
• 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.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in 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 TensorFlow or PyTorch.
• Familiarity with natural language processing (NLP) techniques and tools.
• Ability to work with large datasets and perform data preprocessing and analysis.
• Excellent problem-solving skills and a proactive approach to challenges.
• Strong communication skills and ability to work effectively in a collaborative team environment.