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. LangChain

2. LlamaIndex

3. Prompt Engineering

Experience with cloud AI platforms :

1. Azure OpenAI

2. 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 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