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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer (US Remote) - **Company:** Motorola Solutions, Inc. - **Location:** Bridgeport, CT, United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Machine Learning, Node.Js, Open Source Technology, Software Safety, Search Technologies, Software Engineering, TypeScript, Data Processing, Retrieval-Augmented Generation, Prompt Engineering, Model Validation, Generative AI, Backend, Information Technology, Cloudwatch - **Published:** August 1, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17770952?backUrl=%2Fcareer%2F17770952%2FSenior-Ai-Engineer-Us-Remote-Connecticut-Bridgeport ## About the Role Required: * Bachelor's degree in Computer Science, Software Engineering, or related field * 5+ years in software development with 2+ years focused on production AI/GenAI systems * Deep, hands-on experience with AWS Bedrock, Knowledge Bases, and OpenSearch * Proven track record designing and implementing RAG architectures at scale * Proficiency in Python for AI/ML work and NodeJS/TypeScript for backend development * Experience with agentic frameworks and AWS Bedrock Guardrails * Strong understanding of AI/ML concepts: models, agents, embeddings, vector databases * Hands-on experience with prompt engineering and model evaluation methodologies * Knowledge of AI observability, monitoring, and responsible AI practices Valued: * Experience with multi-modal AI capabilities * Familiarity with model distillation and cost optimization techniques * Background in AI safety, bias detection, or model explainability * Contributions to open-source AI projects or research publications, * 8+ years experience in software development * AND 2+ years with AI/GenAI systems in production environments * AND 2+ years with AWS Bedrock * AND 2+ years with Python for AI/ML development * AND 2+ years with NodeJS/TypeScript for backend services * Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position. ## Description As a senior member of our AI engineering team, you'll provide technical leadership, mentor engineers, and drive best practices in GenAI implementation. You'll work directly with Product Management and Software Engineering teams to transform AI use cases from concept to production, ensuring quality, safety, and scalability at every step. Tech Stack Core AI Technologies: * AWS Bedrock (Models, Agents, Knowledge Bases, Guardrails) * OpenSearch & Vector Databases * RAG (Retrieval-Augmented Generation) architectures * Agentic frameworks (LangChain, LlamaIndex, or AWS Bedrock Agents) Development Stack: * Python (AI/ML development & data processing) * NodeJS with TypeScript (backend services) * AWS ecosystem (S3, IAM, CloudWatch, etc.) AI Engineering Practices: * Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability & monitoring * Responsible AI & safety practices, * Technical Leadership: Apply your expertise in GenAI, AWS Bedrock, and related technologies to drive architectural decisions and coach team members * End-to-End AI Development: Design, build, and refine AI use cases including guardrails, evaluation frameworks, and quality assurance * Collaboration: Partner with Product Management and Software Engineering teams to realize AI features from concept to production * Advisory Role: Provide technical guidance to management, team leads, and customers on AI implementation strategies * Community Engagement: Actively contribute to technology chapter meetings and knowledge sharing What You'll Work On * Building production-scale GenAI applications using AWS Bedrock and foundation models * Implementing RAG systems with Knowledge Bases and vector search * Designing AI agents that can reason, plan, and execute complex workflows * Establishing prompt engineering best practices and evaluation pipelines * Ensuring AI safety through guardrails and responsible AI practices * Optimizing AI system performance, cost, and observability Target Base Salary Range:$180,000 USD - $210,000 USD Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Stop using Node.js like in 2020! 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