AWS Generative AI Engineer

About the role

We are seeking a highly skilled AWS Generative AI Engineer with strong experience in designing, developing, and deploying Generative AI solutions on AWS. The ideal candidate should possess hands-on expertise with Amazon Bedrock, Anthropic Claude models, Large Language Models (LLMs), prompt engineering, retrieval augmented generation (RAG), and scalable cloud native architectures.

Key Responsibilities

• Design, develop, and deploy Generative AI solutions leveraging Amazon Bedrock, Anthropic Claude, and other foundation models.
• Build and optimize RAG Retrieval Augmented Generation architectures using vector databases and enterprise knowledge sources.
• Create and optimize prompts workflows and model configurations to improve response quality, accuracy, and performance.
• Integrate Bedrock foundation models with enterprise applications, APIs, and AWS services.
• Implement scalable and secure cloud native solutions using AWS services such as Lambda, API Gateway, ECS, EKS, S3, DynamoDB, and OpenSearch.
• Finetune model outputs through prompt engineering, guardrails, and evaluation frameworks.
• Collaborate with data engineers, architects, product owners, and business stakeholders to identify GenAI use cases and deliver solutions.
• Maintain model performance, costs, latency, and security compliance.
• Ensure adherence to responsible AI practices, governance, and security standards.
• Stay updated with emerging trends in Generative AI, LLMs, and AWS AIML services.

Required Skills

• Experience with AWS Cloud Services.
• Strong experience with AWS Cloud Services.
• Hands-on experience with Amazon Bedrock.
• AWS Lambda, API Gateway, Amazon S3, Amazon DynamoDB, Amazon OpenSearch, ECS, EKS, CloudWatch, IAM.
• Generative AI, LLMs, Prompt Engineering, RAG Architecture, Vector Databases, AI Agents, Agentic Workflows, Finetuning, Model Evaluation.
• Programming Frameworks proficiency in Python.
• Experience with Lang Chain, Lang Graph, Llama Index, Fast API, REST APIs, SDK integrations, Data Integration, Embeddings, Semantic Search, Knowledge Bases, Document Ingestion Pipelines.
• Experience with MLOps, CICD, and infrastructure as code tools.
• Familiarity with other LLM providers such as OpenAI, Meta, Llama, Mistral, or Cohere.

Required Experience

• 5-10 years of overall software cloud development experience.
• 2-4 years of hands-on experience in Generative AI and LLM-based solution development.
• Proven experience delivering enterprise-scale AI solutions on AWS.

Key Competencies

• Solution Design, Architecture.
• Generative AI, LLM Expertise.
• Cloud Native Development.
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