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About the role
Key Responsibilities :- Design, develop, and deploy Generative AI solutions using Large Language Models (LLMs).- Build AI-powered applications such as chatbots, virtual assistants, copilots, and intelligent automation solutions.- Develop NLP solutions for text understanding, question answering, summarization, and conversational AI.- Build AI applications involving Computer Vision and Audio Processing, including object detection, image segmentation, and speech-related solutions.- Develop LLM-powered workflows using LangChain and LlamaIndex.- Create effective prompts and optimize AI model performance through Prompt Engineering.- Integrate AI models with enterprise applications using APIs and cloud services.- Deploy and manage AI solutions using Docker and cloud platforms.- Collaborate with data scientists, software engineers, and business stakeholders to deliver scalable AI solutions.- Stay updated with emerging trends in Generative AI, LLMs, and AI infrastructure.Required Skills & Experience :- 5+ years of experience in AI/ML or Software Development.- Strong hands-on experience with Generative AI and Large Language Models (LLMs).- Expertise in Natural Language Processing (NLP) and chatbot development.- Experience with Computer Vision and Audio Processing, including detection and segmentation techniques.Hands-on experience with :1. LangChain2. LlamaIndex3. Prompt EngineeringExperience with cloud AI platforms :1. Azure OpenAI2. AWS Bedrock3. Google Vertex AI- Experience working with Open-Source LLMs and Hugging Face.- Strong proficiency in Python.- Hands-on experience with Docker and containerized deployments.- Experience working on Azure, AWS, or Google Cloud Platform (GCP).Preferred Skills :- Experience with Retrieval-Augmented Generation (RAG), vector databases, and AI agents.- Knowledge of MLOps, CI/CD, and model deployment.- Experience with FastAPI, REST APIs, and microservices.- Familiarity with Kubernetes and cloud-native application development.- Knowledge of AI governance, model evaluation, and responsible AI practices.Key Competencies :- Generative AI & LLM Development- NLP & Conversational AI- Computer Vision & Audio AI- LangChain & LlamaIndex- Prompt Engineering- Open-Source LLMs & Hugging Face- Python & Docker- Azure OpenAI, AWS Bedrock & Google Vertex AI- Cloud-Native AI Development- Problem-Solving & Innovation (ref:hirist.tech) Key Responsibilities :- Design, develop, and deploy Generative AI solutions using Large Language Models (LLMs).- Build AI-powered applications such as chatbots, virtual assistants, copilots, and intelligent automation solutions.- Develop NLP solutions for text understanding, question answering, summarization, and conversational AI.- Build AI applications involving Computer Vision and Audio Processing, including object detection, image segmentation, and speech-related solutions.- Develop LLM-powered workflows using LangChain and LlamaIndex.- Create effective prompts and optimize AI model performance through Prompt Engineering.- Integrate AI models with enterprise applications using APIs and cloud services.- Deploy and manage AI solutions using Docker and cloud platforms.- Collaborate with data scientists, software engineers, and business stakeholders to deliver scalable AI solutions.- Stay updated with emerging trends in Generative AI, LLMs, and AI infrastructure.Required Skills & Experience :- 5+ years of experience in AI/ML or Software Development.- Strong hands-on experience with Generative AI and Large Language Models (LLMs).- Expertise in Natural Language Processing (NLP) and chatbot development.- Experience with Computer Vision and Audio Processing, including detection and segmentation techniques.Hands-on experience with :1. LangChain2. LlamaIndex3. Prompt EngineeringExperience with cloud AI platforms :1. Azure OpenAI2. AWS Bedrock3. Google Vertex AI- Experience working with Open-Source LLMs and Hugging Face.- Strong proficiency in Python.- Hands-on experience with Docker and containerized deployments.- Experience working on Azure, AWS, or Google Cloud Platform (GCP).Preferred Skills :- Experience with Retrieval-Augmented Generation (RAG), vector databases, and AI agents.- Knowledge of MLOps, CI/CD, and model deployment.- Experience with FastAPI, REST APIs, and microservices.- Familiarity with Kubernetes and cloud-native application development.- Knowledge of AI governance, model evaluation, and responsible AI practices.Key Competencies :- Generative AI & LLM Development- NLP & Conversational AI- Computer Vision & Audio AI- LangChain & LlamaIndex- Prompt Engineering- Open-Source LLMs & Hugging Face- Python & Docker- Azure OpenAI, AWS Bedrock & Google Vertex AI- Cloud-Native AI Development- Problem-Solving & Innovation (ref:hirist.tech)