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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Engineer- Data/AI Focused - **Company:** Innovative Solutions - **Location:** United States (Remote available) - **Salary:** $100,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Cloud Engineering, Code Review, Databases, System Configuration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Mining, Amazon DynamoDB, Scrum Methodology, Cloud Services, Azure Machine Learning, Software Construction, Software Deployment, Software Engineering, SQL Stored Procedures, SQL Databases, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Build Management, Data Lakes, AI Platforms, AWS Data Analytics, Software Version Control, Data Pipelines - **Published:** September 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=33e08a12c76721e4 ## About the Role * 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development * 2+ years of hands-on AWS experience with production deployments * 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents) * Proven track record delivering production AI applications from concept to deployment * Strong understanding of software engineering best practices (version control, testing, code review, documentation) * Experience working in agile/scrum environments with distributed teams * Excellent problem-solving skills and ability to work independently with minimal supervision * Strong written and verbal communication skills for client-facing interactions Preferred: * Technical familiarity with AWS data and AI/ML services and modern data engineering practices * Hands-on experience with ETL/ELT processes and data transformation * Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks * Ability to write and optimize SQL queries across various database platforms * Knowledge of data modeling concepts and best practices * Strong analytical and problem-solving skills * Eagerness to learn new technologies and keep up with cloud and AI innovations * Excellent communication skills with the ability to explain technical concepts clearly * Attention to detail and commitment to solution quality * Collaborative mindset with strong teamwork capabilities * Experience or interest in automation and infrastructure as code The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training. ## Description * Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR * Creating and maintaining data extraction, transformation, and loading processes * Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB * Implementing data lakes using S3 and related AWS services * Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude * Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases * Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex * Writing and testing SQL queries and stored procedures * Documenting technical solutions and providing knowledge transfer to customers * Supporting the implementation of data governance and security controls * Troubleshooting and resolving issues with data pipelines and AI services * Participating in code reviews and implementing feedback * Assisting with proof-of-concept implementations for customer engagements ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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