Description

You will architect and deliver end-to-end Generative AI solutions for enterprise applications.

Responsibilities

• Architect and deliver end-to-end Generative AI solutions for enterprise applications.
• Build and deploy Computer Vision systems for document understanding, object detection, and visual analytics.
• Develop and optimize LLM and NLP applications including chatbots, summarization engines, knowledge assistants, and intelligent search.
• Implement RAG pipelines using vector databases and embedding models.
• Architect scalable, secure AI systems on AWS and Google Cloud, leveraging Amazon Bedrock and Vertex AI.

Required Skills

• 8–10 years of experience in AI/ML, software engineering, or data science.
• Strong hands-on experience with Python for AI/ML development.
• Expertise in Computer Vision frameworks (OpenCV, TensorFlow, PyTorch).
• Strong understanding of NLP and Large Language Models (LLMs).
• Practical experience implementing RAG architectures, prompt engineering, and LLM orchestration (LangChain, LlamaIndex).
• Hands-on experience with Vector Databases (Pinecone, Weaviate, Milvus).
• Experience deploying AI solutions on AWS or Google Cloud.
• Familiarity with Docker, Kubernetes, and cloud-native MLOps workflows.
• Experience designing scalable APIs and microservices architectures.

Preferred Skills

• Experience with enterprise document processing and intelligent automation solutions.
• Prior experience integrating Generative AI with enterprise knowledge bases and workflows.

Key Skills

Education

Bachelor's degree