Generative AI Engineer

Luxoft; Bengaluru; Hybrid; INR 3,500,000 - 6,500,000; Full time

Job summary

Luxoft in Bengaluru seeks a Senior Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions using LLMs, Transformers, and Diffusion models.

You will build chatbots, document QA, code assistants, and summarization tools, and collaborate with data teams to optimize pipelines, ensure governance, and deliver scalable AI services across cloud platforms.

Qualifications

• 7+ years of experience with 4+ years in GenAI.
• Strong Python programming and knowledge of Java/Node.js.
• Hands-on experience with LLMs, Transformers, and Diffusion models.
• Familiarity with Hugging Face, LangChain, and RAG pipelines.
• Experience with ML platforms and vector databases.

Responsibilities

• Design, prototype, and deploy Generative AI models for real-world enterprise use cases.
• Build and fine-tune LLM-based applications such as chatbots and document Q&A systems.
• Apply prompt engineering and RAG to improve model accuracy and relevance.
• Integrate AI models with enterprise systems, APIs, and data stores using Python/Java/Node.js.
• Collaborate to define scalable, secure AI service architectures.
• Monitor model performance and optimize inference cost and drift.

Skills

Python

Java

Node.js

LLMs

Transformers

Diffusion models

Hugging Face

LangChain

RAG

Vector databases

Cloud platforms

MLOps

Data pipelines

Education

Bachelor's/Master's in CS/AI/DS

Tools

MLflow

Kubeflow

Vertex AI

Azure ML

Pinecone

Weaviate

FAISS

Chroma

Job description

Project description

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. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more.

Responsibilities

• 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 assistantsand Summarization tools.Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance.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., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval.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.Document and present solution designs, technical findings, and outcomes to leadership and clients.

SKILLS

Must have

• Overall 7+ years of experience and relevant 4+ years of GenAI.Strong programming skills in Python (preferred), with experience in Java or Node.js.Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models.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.Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML).Strong understanding of data engineering, data pipelines, and ETL workflows.Excellent problem-solving, communication, and stakeholder engagement skills.Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.

Nice to have

N/A