Gen AI Engineer

Senior Generative AI Engineer (6+ Years Experience)

Bengaluru, Karnataka, India (Hybrid / Remote / Onsite)

Full-time

We are seeking a highly skilled and experienced Generative AI Engineer to join our AI/ML team. In this role, you will design, develop, fine-tune, and deploy generative AI models including LLMs (Large Language Models), diffusion models, and multimodal systems. You’ll work on real-world applications in areas such as chatbots, code generation, creative content generation, and intelligent document processing.

• Research, design, and implement generative AI models (e.g., transformers, GPT, BERT, Stable Diffusion, DALL·E, LLaMA, Mistral, etc.)
• Fine-tune and optimize open-source or proprietary models using domain-specific data
• Build scalable pipelines for data preprocessing, model training, evaluation, and deployment
• Develop prompt engineering and retrieval-augmented generation (RAG) strategies to improve performance and reliability
• Work on LLMOps (Large Language Model Operations) to deploy and monitor models in production
• Collaborate with cross-functional teams (product, engineering, data science) to integrate Gen AI solutions into applications
• Implement safety, fairness, and bias mitigation mechanisms in generative systems
• Optimize inference performance for latency, accuracy, and cost across cloud and edge platforms
• Stay updated with state-of-the-art in generative AI, and proactively suggest improvements or innovations
• Contribute to research publications, patents, or internal whitepapers as needed

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
• 6+ years of experience in AI/ML with at least 2–3 years focused on Generative AI or LLMs
• Strong understanding of deep learning architectures: Transformers, CNNs, RNNs, Attention mechanisms
• Proficient in Python and ML/DL frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, LangChain, OpenAI APIs
• Hands-on experience with training or fine-tuning LLMs (GPT, BERT, Falcon, Mistral, LLaMA, etc.)
• Experience with vector databases (e.g., FAISS, Weaviate, Pinecone) and retrieval-augmented generation (RAG)
• Familiarity with MLOps/LLMOps: MLflow, Kubernetes, Docker, REST APIs, CI/CD pipelines
• Experience with cloud platforms (AWS, Azure, GCP) for model deployment
• Familiar with NLP tasks (NER, QA, summarization, classification, chatbots) and image/video generation is a plus
• Strong understanding of evaluation metrics for generative models
• Excellent problem-solving, communication, and team collaboration skills

• PhD or Master's in Machine Learning, AI, or related field
• Published work in top AI/ML conferences or journals
• Experience with multi-modal models (text + image / video / speech)
• Experience with enterprise applications (GenAI copilots, document understanding, etc.)
• Contributions to open-source Gen AI projects or frameworks
• Experience building guardrails (e.g., hallucination detection, content filtering, etc.)

• Python, PyTorch, TensorFlow, JAX
• Hugging Face Transformers, LangChain, OpenAI, Cohere, Anthropic
• Vector DBs: FAISS, Pinecone, Weaviate, Qdrant
• MLFlow, DVC, Airflow, Ray
• Docker, Kubernetes, REST APIs, FastAPI
• AWS SageMaker, Azure ML, GCP Vertex AI

• Model accuracy and generation quality (e.g., BLEU, ROUGE, perplexity, human eval)
• Reduction in hallucination rate or prompt failure rate
• Model response latency and cost efficiency in production
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