Generative AI Engineer - Large Language Models

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 :

LangChainLlamaIndex

3.

Prompt

Engineering

Experience with cloud AI platforms :

1.

Azure

OpenAI

AWS Bedrock

3.

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 DevelopmentNLP &Conversational AIComputer Vision &Audio AILangChain &LlamaIndexPrompt EngineeringOpen-Source LLMs &Hugging FacePython &DockerAzure OpenAI, AWS Bedrock &Google Vertex AICloud-Native AI DevelopmentProblem-Solving &Innovation .