We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases.

Build and fine-tune LLM-based applications such as: Chatbots, Document Q&A; systems, Report generators, Code assistants

Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js.

Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures.

Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML.

Monitor model performance, detect drift, and drive continuous improvement.

Optimize inference performance and cost through model compression, quantization, and API optimization.

Ensure compliance with AI ethics, security, and governance standards.

Prepare and curate training datasets (structured/unstructured text, images, code).

Apply data preprocessing, tokenization,



and embedding generation techniques.

Work with vector databases (e.g., Partner with business stakeholders to identify and shape impactful AI use cases.

Contribute to the development of a strategic AI adoption roadmap and reusable AI Workbench/platform components.

Support POCs, pilots, and full-scale implementations using agile methodologies.

Overall 7+ years of experience and relevant 4+ years of GenAI.

Robust programming skills in Python (preferred), with experience in Java or Node.js.

Hands-on experience with LLMs (e.g., Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning.

Familiarity with RAG pipelines, embedding models, and vector databases.

Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services.

MLflow, Kubeflow, Vertex AI, Azure ML).

Strong understanding of data engineering, data pipelines, and ETL workflows.

Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.

Languages
English:

📌 AI / ML Specialist (Bengaluru)
🏢 Luxoft
📍 Bengaluru