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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cleared AI Senior Software Engineer (Hybrid) - **Company:** AZUSA SOLUTIONS LLC - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Continuous Integration, Data Systems, Decision Support Systems, Graph Database, Python (Programming Language), Regression Testing, Data Logging, Enterprise Software Applications, Large Language Models, Prompt Engineering, Git, Infrastructure Automation Frameworks, Information Technology, OPUS (Software), Automation Anywhere - **Published:** August 28, 2026 - **Apply:** https://www.dice.com/job-detail/934e8aee-8f69-443e-b97b-3c184d825623 ## About the Role * Ability to iteratively tune, evaluate, and validate AI workflows, including refining prompts, agent configurations, toolcalling patterns, and retrieval strategies. * Experience designing and running structured tests for AI behavior such as regression tests, scenariobased evaluations, synthetic testing, and model comparisons. * Skill in diagnosing and correcting AI system failures, including hallucinations, retrieval issues, or tooluse errors, and implementing guardrails or workflow adjustments. * Documents and maintains AI models, agent behaviors, experiments, and workflow designs. * Proficient in data modeling and familiar with AWS Bedrock services. * Proficiency in Python; familiarity with JavaScript or other languages beneficial. * Comfortable working with CI/CD and Git-based development workflows * Experience integrating observability tools into AI application workflows (logging, metrics, traces). * Years of experience: 7-10. * Bachelor's degree required Preferred Skills & Qualifications: * Master's in Computer Science or related field ## Description Azusa Solutions is seeking an AI Senior Software Engineer to join our team of talented consultants. This is an exciting opportunity to join a growing company comprised of highly qualified, highly impactful, and multi-talented individuals. We are seeking an AI Engineer with strong technical acumen, creativity, and problemsolving ability to design, implement, and optimize AIpowered solutions built on modern agentic frameworks. In this role, you will develop intelligent workflows using foundation models (e.g., Claude Sonnet, Claude Opus, etc.), configure multiagent systems, integrate AI with enterprise applications and data systems, and iteratively tune and evaluate agent behavior to deliver reliable, realworld outcomes. You will collaborate closely with a community of generative AI specialists, software engineers, data scientists, solution architects, cybersecurity experts, and product owners to deliver innovative, productionready AI systems that transform our clients' ecosystems and reinvent the way they operate., * Design, build, and optimize agentic AI systems using orchestration frameworks like LangGraph, CrewAI, Google ADK, or AWS Bedrock AgentCore, etc. * Implement multistep, toolenabled AI agentic workflows that combine LLM reasoning, RAG, retrieval systems, external APIs, and custom enterprise tools. * Use leading foundation models (Claude Sonnet, Claude Opus, , etc.) on Amazon Bedrock to build capabilities including structured generation, extraction, summarization, planning, and decision support. * Iteratively tune and refine AI workflows through prompt engineering, instruction design, agent configuration, and tooluse optimization. * Conduct structured testing and evaluation of AI behavior, including regression tests, scenariobased evaluations, synthetic test creation, and modeltomodel comparisons. * Diagnose issues such as hallucinations, retrieval mismatches, tooluse errors, or unexpected agent behavior, and implement corrective strategies including guardrails and workflow adjustments. * Integrate AI components with vector databases, graph databases, internal applications, and other infrastructure tools-working alongside engineers who manage the underlying systems. * Document model usage patterns, agent behaviors, experimental findings, workflow designs, and best practices for reproducibility and maintainability. * Collaborate with cybersecurity and governance teams to ensure AI implementations adhere to required policies and safeuse guidelines. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)