Generative AI Engineer

We are seeking a highly skilled Senior Generative AI Engineer with hands-on expertise in Python, Large Language Models (LLMs), Transformers, Retrieval-Augmented Generation (RAG), and AI/ML technologies.

In this role, you will design, develop, fine-tune, and deploy enterprise-grade Generative AI solutions, including intelligent chatbots, document Q&A systems, report generators, code assistants, and summarization tools. The position emphasizes deep experience in LLM integration, prompt engineering, vector databases, cloud platforms, and MLOps.

Key Responsibilities

• Design, prototype, develop, and deploy Generative AI solutions using LLMs, Transformers, and Diffusion models.
• Build and fine-tune LLM-based applications, including chatbots, document Q&A systems, report generators, code assistants, and summarization tools.
• Develop prompt engineering, prompt tuning, RAG pipelines, and context-aware workflows to enhance model accuracy and relevance.
• Integrate AI models with enterprise applications, APIs, databases, and data stores using Python, Java, or Node.js.
• Partner with architects to plan scalable, secure, and cost-effective AI service architectures.
• Create AI/ML pipelines for model training, validation, deployment, and monitoring using tools such as MLflow, Vertex AI, and Azure ML.
• Track model performance, identify model drift, and drive ongoing enhancements.
• Improve inference performance and reduce costs through model compression, quantization, and API optimization.
• Assemble and curate structured and unstructured datasets, including text, images, and code.
• Conduct data preprocessing, tokenization, embedding generation, and implement semantic search capabilities.
• Work with vector databases such as Pinecone, Weaviate, FAISS, and Chroma.
• Collaborate with business stakeholders to identify and deliver high-impact Generative AI use cases.
• Help shape enterprise AI adoption roadmaps and contribute to reusable AI Workbench/platform components.
• Assist with POCs, pilots, and enterprise-scale deployments using Agile methodologies.
• Uphold compliance with AI ethics, security, governance, and responsible AI standards.
• Produce and communicate solution designs, technical findings, and implementation outcomes to clients and leadership.

Mandatory Skills

• 7+ years of overall IT experience, 4+ years of relevant Generative AI experience
• Strong Python programming, Java or Node.js
• Generative AI, Large Language Models (LLMs), GPT, LLaMA, Claude, Mistral
• Transformer architectures, Diffusion models, Deep Learning
• Hugging Face Transformers, LangChain, LLM orchestration frameworks
• Prompt Engineering, Prompt Tuning, LLM Fine-tuning
• Retrieval-Augmented Generation (RAG), RAG pipelines, Context-aware AI applications
• Embedding Models, Embedding Generation, Semantic Search
• Vector Databases, Pinecone, Weaviate, FAISS, Chroma
• Chatbot Development, Document Q&A, Report Generation, Code Assistants, Text Summarization
• AI/ML Model Training, Model Validation, Model Deployment, Model Monitoring
• MLOps, MLflow, Kubeflow, Vertex AI, Azure ML
• Cloud Platforms, AWS, Azure, GCP, AI/ML Cloud Services
• Data Engineering, Data Pipelines, ETL Workflows, Data Preprocessing, Tokenization
• Model Optimization, Quantization, Model Compression, Inference Optimization
• REST APIs, Enterprise Application Integration, Backend Integration
• AI Governance, Responsible AI, Security, Model Performance Monitoring
• Agile Methodology, POC Development, Pilot Implementation, Production Deployment
• Strong analytical, problem-solving, communication, and stakeholder management skills
• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field