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 technologies.

The candidate will be responsible for designing, developing, fine-tuning, and deploying enterprise-grade Generative AI solutions such as intelligent chatbots, document Q&A; systems, report generators, code assistants, and summarization tools. The role requires strong 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.
- Implement prompt engineering, prompt tuning, RAG pipelines, and context-aware workflows to improve model accuracy and relevance.
- Integrate AI models with enterprise applications, APIs, databases, and data stores using Python, Java, or Node.js.
- Collaborate with architects to design scalable, secure, and cost-effective AI service architectures.
- Develop AI/ML pipelines for model training, validation, deployment, and monitoring using tools such as MLflow, Vertex AI, and Azure ML.
- Monitor model performance, detect model drift, and implement continuous improvements.
- Optimize inference performance and cost through model compression, quantization, and API optimization.
- Prepare and curate structured and unstructured datasets, including text, images, and code.
- Perform data preprocessing, tokenization, embedding generation, and semantic search implementation.
- Work with vector databases such as Pinecone, Weaviate, FAISS, and Chroma.




- Collaborate with business stakeholders to identify and deliver impactful Generative AI use cases.
- Contribute to enterprise AI adoption roadmaps and reusable AI Workbench/platform components.
- Support POCs, pilots, and enterprise-scale implementations using Agile methodologies.
- Ensure compliance with AI ethics, security, governance, and responsible AI standards.
- Document and present 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, Lang Chain, 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
- Solid 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

📌 Generative AI Engineer (India)
🏢 Luxoft India
📍 India