Generative AI Engineer - LLM Models

Position Gen AI Developer/ Data Scientist Job Description We are looking for a talented and polite Generative AI Developer to join our team who will come with the mindset of fulfilling a developer position only and be able to work in a team environment. As a Generative AI Developer, you will be at the forefront of developing and deploying cutting-edge Gen AI solutions, leveraging the power of Agentic mechanism, prompt engineering, RAG (traditional & Graph DB) and fine tuning large language models (LLMs) like GPT-4, Llama 3, 3.1 etc. Your primary focus will be on backend development using Django & Flask (both must skills) frameworks to create robust and scalable applications. He/ She should be able to discuss backed feature design with the Lead Scientist/ Project Lead and come up with the best solution. Key Responsibilities - Modelling & Fine-Tuning - Fine-tuning large language models (LLMs) to generate high-quality text, code, and other creative content. - Using prompt engineering, few-shot learning, Agentic mechanism, RAG, Graphical RAG and other best approaches for achieving the solution. - Have extensive experience with Vector DB, similarity searching and embeddings model. Should be able to handle the context length challenge in embedding generation and saving. - Knows avatar generation from scratch and adding lip sync and gesture using open source pre trained models - Knows ASR and able to implement this in a full 2-way LLM based chat/ communication system. - Backend Development - Design and implement robust backend services and APIs using Flask or Django to integrate AI models into applications. - Optimize API performance and scalability to handle high traffic loads along with the standard rendering time implementation. - Ensure data privacy and security by implementing appropriate measures. - AI Integration - Collaborate with cross-functional teams to understand business requirements and integrate AI solutions effectively. - Leverage cloud-based AI platforms like Azure Cognitive Services or AWS Sagemaker, bedrock, Lambda and other related AI services to accelerate development and deployment. - Model Deployment and Monitoring - Deploy AI models to production environments, ensuring high availability and reliability. - Knowledge of MLOps & LLMOps (Optional but should have knowledge about it) - Monitor model performance and identify areas for improvement. - Retrain and redeploy models as needed to maintain optimal performance. - Research and Innovation - Should be updated with current advancements in LLM space and be able to create POC in a day or two based on leads guidance. - Explore new techniques and tools to improve the capabilities of our AI systems. - Contribute to research projects and publications in the field of AI. Required Skills and Qualifications : - Strong proficiency in Python programming. - Experience with large language models (LLMs) like GPT-4, 4o, Llama 3, 3.1. - Deep understanding of natural language processing (NLP) techniques, including text generation, summarization, and translation. - Proficiency in backend development using Flask or Django frameworks. - Familiarity with cloud services like AWS, Azure, GCP. - Strong problem-solving and analytical skills. - Excellent communication and collaboration skills. Preferred Qualifications : - Experience with machine learning frameworks like TensorFlow or PyTorch. - Knowledge of data engineering and data pipelines. - Experience with MLOps, LLMOps and DevOps practices. - A passion for AI and a desire to push the boundaries of innovation. (ref:hirist.tech)

Location: noida, IN

Posted Date: 5/1/2025