Full Description
About the Role
We are seeking a highly skilled Senior Generative AI Engineer to design, build, and deploy advanced AI solutions using state-of-the-art LLMs and foundation models.
The ideal candidate will have deep hands-on experience with prompt engineering, model fine‑tuning, RAG pipelines, vector databases, and production-grade AI applications.
You will work closely with cross-functional teamsto translate business needs into scalable AI systems.
Key Responsibilities1.
Model Development & Optimization
• Develop, fine‑tune, and optimize LLMs, diffusion models, and multimodal models for various use cases.
• Build and optimize RAG (Retrieval-Augmented Generation) workflows.
• Implement prompt engineering and prompt chaining strategies for high‑accuracy outputs.
• Evaluate model performance using industry-standard metrics.
- AI System Architecture
• Design end‑to‑end GenAI pipelines including data ingestion, vector stores, embedding models, and model serving.
• Integrate LLMs into applications using APIs, SDKs, and cloud-based ML services.
• Architect scalable systems for inference optimization, caching, and safety/guardrail layers.
- Data Engineering & Preprocessing
• Work with structured and unstructured data such as text, images, audio, and documents.
• Generate embeddings, manage vector databases (e.g., Pinecone, Milvus, FAISS).
• Prepare datasets for training, fine-tuning, and evaluation.
- Deployment & MLOps
• Deploy AI models using tools like Docker, Kubernetes, MLflow, AWS/GCP/Azure AI services.
• Manage model versioning, monitoring, and CI/CD pipelines.
• Ensure reliability, latency optimization, and cost-efficient serving.
- Cross-functional Collaboration
• Collaborate with product, engineering, and design teams to define and deliver GenAI features.
• Translate complex technical concepts into simple, actionable business insights.
• Provide technical mentorship to junior AI engineers.
Required Skills & Qualifications
• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or related field.
• 5+ years of experience in AI/ML development, with at least 2+ years in Generative AI.
• Strong expertise in:
• Python, PyTorch, TensorFlow
• LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.)
• Model fine‑tuning (LoRA, PEFT, QLoRA)
• Vector databases and embedding models
• Experience building production-grade AI systems.
• Solid understanding of NLP, deep learning, transformers, and diffusion architectures.
• Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools.
Preferred Qualifications
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel).
• Hands-on experience with multimodal AI (text + image + speech).
• Knowledge of responsible AI frameworks and model safety.
• Contributions to open-source AI projects.
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