Generative AI Developer/Specialist

You are a highly experienced Gen AI Developer Specialist responsible for designing, building, and deploying scalable enterprise-grade Generative AI solutions. Your role involves end-to-end ownership, from model experimentation to production deployment on cloud platforms. Key Responsibilities: - Design, develop, and deploy end-to-end Generative AI solutions for enterprise use cases - Build and optimize applications using Large Language Models (LLMs) and Agentic AI / Multi-Agent frameworks - Perform prompt engineering, fine-tuning, evaluation, and optimization of transformer-based models - Develop scalable backend services using Python, FastAPI, and Flask - Implement AI workflows using LangChain, LangGraph, AutoGen, and Semantic Kernel - Integrate OpenAI GPT models and other LLM APIs into production-ready Python applications - Build and manage RAG (Retrieval-Augmented Generation) pipelines using vector databases - Work with NLP libraries such as BERT, SpaCy, NLTK, Word2Vec, and GloVe for text processing and analysis - Implement MLOps pipelines, including CI/CD, model versioning, monitoring, and deployment - Containerize and orchestrate AI services using Docker and Kubernetes - Handle structured and unstructured data using SQL, NoSQL, and Vector Databases - Develop AI solutions for document intelligence, including PDF and PPT processing using PyMuPDF, python-pptx, etc. - Collaborate with product managers, data scientists, and engineering teams to translate business requirements into AI solutions - Ensure data security, compliance, and performance optimization across AI systems Qualifications: - Bachelors or Masters degree in Computer Science, AI, Data Science, or related field - 9 - 12 years of overall software development experience with significant focus on AI/ML and Generative AI - Proven experience delivering production-grade AI solutions at scale - Strong problem-solving and communication skills - Experience with LLMOps, model evaluation frameworks, and AI governance - Exposure to fine-tuning open-source LLMs (LLaMA, Mistral, Falcon, etc.) Please note that the qualifications mentioned in the job description are related to the field of Computer Science, AI, and Data Science, and the required experience level is 9-12 years with a focus on AI/ML and Generative AI. You are a highly experienced Gen AI Developer Specialist responsible for designing, building, and deploying scalable enterprise-grade Generative AI solutions. Your role involves end-to-end ownership, from model experimentation to production deployment on cloud platforms. Key Responsibilities: - Design, develop, and deploy end-to-end Generative AI solutions for enterprise use cases - Build and optimize applications using Large Language Models (LLMs) and Agentic AI / Multi-Agent frameworks - Perform prompt engineering, fine-tuning, evaluation, and optimization of transformer-based models - Develop scalable backend services using Python, FastAPI, and Flask - Implement AI workflows using LangChain, LangGraph, AutoGen, and Semantic Kernel - Integrate OpenAI GPT models and other LLM APIs into production-ready Python applications - Build and manage RAG (Retrieval-Augmented Generation) pipelines using vector databases - Work with NLP libraries such as BERT, SpaCy, NLTK, Word2Vec, and GloVe for text processing and analysis - Implement MLOps pipelines, including CI/CD, model versioning, monitoring, and deployment - Containerize and orchestrate AI services using Docker and Kubernetes - Handle structured and unstructured data using SQL, NoSQL, and Vector Databases - Develop AI solutions for document intelligence, including PDF and PPT processing using PyMuPDF, python-pptx, etc. - Collaborate with product managers, data scientists, and engineering teams to translate business requirements into AI solutions - Ensure data security, compliance, and performance optimization across AI systems Qualifications: - Bachelors or Masters degree in Computer Science, AI, Data Science, or related field - 9 - 12 years of overall software development experience with significant focus on AI/ML and Generative AI - Proven experience delivering production-grade AI solutions at scale - Strong problem-solving and communication skills - Experience with LLMOps, model evaluation frameworks, and AI governance - Exposure to fine-tuning open-source LLMs (LLaMA, Mistral, Falcon, etc.) Please note that the qualifications mentioned in the job description are related to the field of Computer Science, AI, and Data Science, and the required experience level is 9-12 years with a focus on AI/ML and Generative AI.