AI Engineer

As an experienced AI / GenAI Engineer, your role will involve building and deploying Generative AI solutions using AWS Bedrock and related AWS AI services. You will be responsible for designing and developing GenAI applications, integrating LLMs into enterprise applications, building scalable AI solutions and APIs, working on prompt engineering, RAG frameworks, and model optimization. Collaboration with architects and business teams to deliver plug-and-play AI solutions while ensuring security, scalability, and performance of AI workloads will also be part of your responsibilities. Key Responsibilities: - Design and develop GenAI applications using AWS Bedrock - Integrate LLMs into enterprise applications - Build scalable AI solutions and APIs - Work on prompt engineering, RAG frameworks, and model optimization - Collaborate with architects and business teams to deliver plug-and-play AI solutions - Ensure security, scalability, and performance of AI workloads Qualifications: - 68 years of software engineering experience - Strong experience in Generative AI, LLMs, RAG, Prompt Engineering - Hands-on experience with AWS Bedrock - Experience integrating foundation models such as Claude, Llama, Titan, etc. - Strong knowledge of Python and API development - Experience building AI-powered applications, chatbots, copilots, or intelligent automation solutions - Knowledge of vector databases, embeddings, and retrieval mechanisms - Experience with AWS services such as Lambda, S3, API Gateway, ECS/EKS, CloudWatch, etc - Understanding of AI model deployment, monitoring, and optimization Nice to Have: - Experience with LangChain, LangGraph, LlamaIndex, Pinecone, Weaviate, or OpenSearch - Exposure to MLOps and AI deployment pipelines - AWS Certifications preferred (Note: Any additional details of the company were not provided in the job description) As an experienced AI / GenAI Engineer, your role will involve building and deploying Generative AI solutions using AWS Bedrock and related AWS AI services. You will be responsible for designing and developing GenAI applications, integrating LLMs into enterprise applications, building scalable AI solutions and APIs, working on prompt engineering, RAG frameworks, and model optimization. Collaboration with architects and business teams to deliver plug-and-play AI solutions while ensuring security, scalability, and performance of AI workloads will also be part of your responsibilities. Key Responsibilities: - Design and develop GenAI applications using AWS Bedrock - Integrate LLMs into enterprise applications - Build scalable AI solutions and APIs - Work on prompt engineering, RAG frameworks, and model optimization - Collaborate with architects and business teams to deliver plug-and-play AI solutions - Ensure security, scalability, and performance of AI workloads Qualifications: - 68 years of software engineering experience - Strong experience in Generative AI, LLMs, RAG, Prompt Engineering - Hands-on experience with AWS Bedrock - Experience integrating foundation models such as Claude, Llama, Titan, etc. - Strong knowledge of Python and API development - Experience building AI-powered applications, chatbots, copilots, or intelligent automation solutions - Knowledge of vector databases, embeddings, and retrieval mechanisms - Experience with AWS services such as Lambda, S3, API Gateway, ECS/EKS, CloudWatch, etc - Understanding of AI model deployment, monitoring, and optimization Nice to Have: - Experience with LangChain, LangGraph, LlamaIndex, Pinecone, Weaviate, or OpenSearch - Exposure to MLOps and AI deployment pipelines - AWS Certifications preferred (Note: Any additional details of the company were not provided in the job description)