Gen AI Engineer
Relevance Lab · Bangalore
Collected role description
Role overview
Gen AI Engineer at Relevance Lab
As a Generative AI Engineer, you will be responsible for developing and implementing applications using large language models (LLMs).
Responsibilities
- You will work closely with cross-functional teams to design, develop, and deploy state-of-the-art AI systems.
- 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.
- Write clean, maintainable, and efficient code adhering to best practices.
Required 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.
Employment details
- Location: Bengaluru [India]
Additional role details
- Your expertise in Python and LangChain will be essential in creating scalable, efficient, and innovative AI solutions.
- Develop and implement AI applications using large language models (LLMs) with Python and LangChain.
- Evaluate and fine-tune models to achieve optimal performance and accuracy.
- Participate in code reviews and provide constructive feedback to team members.
- Document technical specifications, processes, and model performance metrics.
Collected experience requirement
6-8 years