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.

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.
- Implement 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.
- 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.
- Optimize model inference, latency, and cost through 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 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.

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, Lang Chain, 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
- Robust 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

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