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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Generative AI Engineer - **Company:** CYNET SYSTEMS INC. - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Salary:** $93,600.0 - $104,000.0 - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Software Applications, Cloud Computing, Cloud Computing Security, Cloud Engineering, Continuous Integration, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Machine Learning, Cloud Services, Azure Machine Learning, Search Technologies, Systems Integration, Enterprise Software Applications, Chatbots, Data Ingestion, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Generative AI, AWS Lambda, Cloudformation, Fastapi, Infrastructure Automation Frameworks, Information Technology, Machine Learning Operations, Cloudwatch, Api Gateway, Restful APIs, Terraform - **Published:** August 1, 2026 - **Apply:** https://www.careerjet.com/jobad/us8db9eb17a4cced131b536727208a9da3 ## About the Role * 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, and IAM. * Strong experience with Amazon Bedrock and Anthropic Claude models. * Solid understanding of Large Language Models (LLMs), prompt engineering, RAG architecture, vector databases, AI agents and agentic workflows, finetuning and model evaluation, responsible AI, and AI governance. * Proficiency in Python. * Experience with LangChain, LangGraph, LlamaIndex, FastAPI, REST APIs, and SDK integrations. * Experience integrating structured and unstructured data sources. * Knowledge of embeddings, semantic search, knowledge bases, and document ingestion pipelines., * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. * AWS certifications such as AWS Certified, AWS Certified Machine Learning Engineer, or AWS AI Practitioner. * Experience with MLOps, CI/CD, and infrastructure-as-code tools like Terraform and CloudFormation. * Familiarity with other LLM providers such as OpenAI, Meta, Llama, Mistral, or Cohere. Skills: * Solution Design and Architecture. * Generative AI and LLM Expertise. * Cloud-Native Development. * Problem Solving and Analytical Thinking. * Stakeholder Management. * Innovation Mindset. * Agile Delivery. * Communication and Collaboration Skills. Education and Experience: * 5+ years of overall software/cloud development experience. * 2+ years of hands-on experience in Generative AI and LLM-based solution development. * Proven experience delivering enterprise-scale AI solutions on AWS. ## Description * 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. * Develop AI-powered applications such as chatbots, virtual assistants, document processing, content generation, and intelligent search solutions. * 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. * Monitor 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 AI/ML services. ## Related Videos - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [Got AI ideas but no money? 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