Generative AI Engineer

We are seeking a highly skilled Senior Generative AI Engineer with proven hands-on expertise in Python, Large Language Models (LLMs), Transformers, Retrieval-Augmented Generation (RAG), and AI/ML engineering. The role involves designing, building, fine-tuning, and deploying enterprise-grade Generative AI solutions, including intelligent chatbots, document Q&A systems, summarization tools, report generators, and code assistants.

The ideal candidate will have experience creating scalable AI applications, integrating LLMs with enterprise environments, working with vector databases, and deploying AI solutions on cloud platforms.

Key Responsibilities

• Design, develop, prototype, and deploy Generative AI solutions using LLMs, Transformers, and Diffusion models.
• Build and fine-tune LLM-based applications such as intelligent chatbots, document Q&A systems, report generators, code assistants, and summarization tools.
• Develop prompt engineering, prompt tuning, RAG pipelines, and context-aware retrieval workflows.
• Integrate AI models with enterprise applications, APIs, databases, and data platforms using Python, Java, or Node.js.
• Collaborate with solution architects to design scalable, secure, and cost-efficient AI service architectures.
• Create AI/ML pipelines for model training, validation, deployment, and monitoring.
• Use MLOps platforms and tools including MLflow, Kubeflow, Vertex AI, and Azure ML.
• Monitor model performance, detect model drift, and improve accuracy and reliability continuously.
• Enhance model inference, latency, and cost efficiency using quantization, compression, and API optimization.
• Prepare, curate, and preprocess structured and unstructured datasets, including text, images, and code.
• Implement tokenization, embedding generation, and semantic search methods.
• Work with vector databases such as Pinecone, Weaviate, FAISS, and Chroma.
• Partner with business stakeholders to identify and deliver high-impact Generative AI use cases.
• Help define enterprise AI adoption roadmaps and reusable AI platform components.
• Deliver proof of concepts (POCs), pilots, and enterprise-scale implementations using Agile methodologies.
• Ensure AI solutions align with responsible AI, security, governance, and compliance requirements.
• Produce and maintain documentation for technical designs, solution architecture, implementation outcomes, and findings for stakeholders.

Mandatory Skills

• Overall 7+ years of IT experience, with 4+ years of hands-on Generative AI experience
• Strong Python programming, Java or Node.js
• 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 Engineering
• Embedding Models, Embedding Generation, Semantic Search
• Vector Databases, Pinecone, Weaviate, FAISS, Chroma
• Chatbot Development, Document Q&A, Text Summarization, Report Generation, Code Assistants
• AI/ML Model Training, Model Validation, Model Deployment, Model Monitoring
• MLOps, MLflow, Kubeflow, Vertex AI, Azure ML
• Cloud Platforms, AWS, Azure, GCP
• Data Preprocessing, Tokenization, Dataset Preparation, Data Pipelines, ETL
• Model Optimization, Quantization, Model Compression, Inference Optimization
• REST APIs, Enterprise Application Integration, Backend Integration
• AI Governance, Responsible AI, Data Security, Model Performance Monitoring
• Agile Methodology, POC Development, Production Deployment
• Strong analytical, problem-solving, communication, and stakeholder management skills
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field