We are looking for a highly skilled Senior Generative AI Engineer with strong hands-on experience in Python, Large Language Models (LLMs), Transformers, Retrieval-Augmented Generation (RAG), and AI/ML engineering. The candidate will be responsible for designing, developing, 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 should have experience building scalable AI applications, integrating LLMs with enterprise systems, working with vector databases, and deploying AI solutions on cloud platforms.

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.

Integrate AI models with enterprise applications, APIs, databases, and data platforms using Python, Java, or Node.js.

Design scalable, secure, and cost-efficient AI service architectures in collaboration with solution architects.

Develop AI/ML pipelines for model training, validation, deployment, and monitoring.

Use MLOps platforms and tools such as MLflow, Kubeflow, Vertex AI, and Azure ML.

Monitor model performance, identify model drift, and continuously improve accuracy and reliability.

Implement tokenization, embedding generation, and semantic search techniques.

Work with vector databases such as Pinecone, Weaviate, FAISS,



and Chroma.

Collaborate with business stakeholders to identify and develop impactful Generative AI use cases.

Contribute to enterprise AI adoption roadmaps and reusable AI platform components.

Support proof of concepts (POCs), pilots, and enterprise-scale implementations using Agile methodologies.

Ensure AI solutions follow responsible AI, security, governance, and compliance standards.

Document technical designs, solution architecture, implementation outcomes, and findings for stakeholders.

Overall 7+ years of IT experience, with 4+ years of hands-on Generative AI experience

Solid Python programming, Java or Node.js

Large Language Models (LLMs), GPT, LLaMA, Claude, Mistral

Hugging Face Transformers, LangChain, LLM orchestration frameworks

Prompt Engineering, Prompt Tuning, LLM Fine-tuning

Embedding Models, Embedding Generation, Semantic Search

Vector Databases, Pinecone, Weaviate, FAISS, Chroma

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

REST APIs, Enterprise Application Integration, Backend Integration

AI Governance, Responsible AI, Data Security, Model Performance Monitoring

Agile Methodology, POC Development, Production Deployment

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field

📌 AI / ML Specialist (Gurugram)
🏢 Luxoft India
📍 Gurugram