Junior Generative AI Engineer

Neuleap AI

Location

Pune

Work mode

On-Site

Employment

Full Time

Experience

0-3 years

Salary

₹6 - 10 LPA

About the role

This role focuses on the development and implementation of generative AI models for applications in natural language processing (NLP) and computer vision. Key areas include working with large language models (LLMs), GenAI frameworks like LangChain and Hugging Face, prompt engineering, and building RAG pipelines using vector databases such as Pinecone, FAISS, and Weaviate. The position also involves integrating various AI APIs (OpenAI, Anthropic, Azure OpenAI) and understanding core concepts like Transformers and Encoder-Decoder architectures.

Responsibilities

Assist in the design and development of generative AI models for various applications, including natural language processing and computer vision.
Support the development of GenAI solutions such as chatbots, summarizers, and content generation tools.
Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and RAG pipelines.
Implement and optimize algorithms for efficiency and scalability.
Conduct experiments to evaluate model performance and iterate on designs based on feedback and results.

Full description

Job Title: Junior Generative AI Engineer Location: Pune (Maharashtra) Experience Required: 0-3 years About the Role: We are seeking a motivated and enthusiastic Junior Generative AI Engineer to join our dynamic team. In this role, you will work closely with senior engineers and data scientists to develop and implement innovative generative AI models. You will have the opportunity to contribute to exciting projects that leverage cutting-edge technologies to solve real-world problems. Key Responsibilities: - Assist in the design and development of generative AI models for various applications, including natural language processing and computer vision. - Collaborate with cross-functional teams to gather requirements and understand project objectives. - Conduct experiments to evaluate model performance and iterate on designs based on feedback and results. - Implement and optimize algorithms for efficiency and scalability. - Participate in code reviews and contribute to the maintenance of high-quality codebases. - Document processes, models, and findings to ensure knowledge sharing within the team. - Stay updated with the latest trends and advancements in generative AI and machine learning. - Support data preprocessing and feature engineering tasks to prepare datasets for model training. - Assist in troubleshooting and resolving issues related to model deployment and performance. Required Skills: - Proficiency in programming languages such as Python and familiarity with libraries like TensorFlow or PyTorch. - Understanding of machine learning concepts, particularly in generative models (e.g., GANs, VAEs). - Basic knowledge of data structures, algorithms, and software development best practices. - Strong analytical and problem-solving skills. - Ability to work collaboratively in a team environment. - Good communication skills, both verbal and written. Good to Have Skills: - Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying AI models. - Familiarity with version control systems, particularly Git. - Exposure to data visualization tools and techniques. - Knowledge of reinforcement learning or advanced NLP techniques. Qualifications: - Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. - Relevant certifications in machine learning or AI are a plus. Salary Range: INR 6 LPA - 10 LPA Employment Type: Full-time Work Mode: On-site