We are seeking an experienced AI / ML Engineer with a strong background in Generative AI to join our growing team. You will play a key role in designing and deploying AI solutions using cutting-edge large language models (LLMs), deep learning, and Retrieval-Augmented Generation (RAG) techniques.
Key Responsibilities :
- Design, develop, and deploy Generative AI solutions using state-of-the-art LLMs.
- Build and optimize RAG pipelines to improve response quality and contextual relevance.
- Collaborate with product and engineering teams to integrate AI features into applications.
- Conduct fine-tuning, evaluation, and prompt engineering for task-specific model outputs.
- Implement scalable AI / ML workflows using cloud-based infrastructure and MLOps tools.
- Monitor performance and continuously improve model accuracy, latency, and safety.
Required Skills :
4+ years of experience in AI / ML development with at least 12 years in GenAI / LLMs.Proficient in Python, ML libraries (TensorFlow, PyTorch), and NLP tools.Experience with LLMs like GPT, LLaMA, Claude, Mistral, etc.Strong grasp of Prompt Engineering and few-shot / zero-shot learning.Experience building RAG architectures using vector databases (e.g., FAISS, Pinecone, Weaviate).Knowledge of AI Agents and frameworks like LangChain, AutoGen, etc.Solid understanding of MLOps, model deployment, and cloud platforms (AWS / GCP / Azure).(ref : hirist.tech)