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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer II - Python - **Company:** Rock Family of Companies - **Location:** Detroit, MI, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Unit Testing, Cloud Computing, Software Quality, Code Review, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Regression Testing, Azure Machine Learning, Software Engineering, Systems Architecture, Management of Software Versions, Cloud Platform System, Retrieval-Augmented Generation, System Availability, Large Language Models, Multi-Agent Systems, Infrastructure as Code (IaC), Fastapi, Event Driven Architecture, Information Technology, Performance Monitor, Machine Learning Operations, Virtual Agents, Cloudwatch, Restful APIs, Terraform, Splunk, Serverless Computing - **Published:** June 26, 2026 - **Apply:** https://www.juju.com/job/00000000gb10zd ## About the Role + Master's degree in Computer Science, Software Development, Machine Learning, or a related field, OR equivalent professional experience (3-5+ years in production-level engineering). + Expert-level proficiency in Python with a focus on building distributed, scalable cloud-native services. + Proven experience in a Data Science or Machine Learning environment, specifically in bridging the gap between research code and production software. Preferred Qualifications Agentic AI & Orchestration: + Hands-on experience with **AgentCore** runtime for building and managing autonomous agents. + Extensive experience using **LangGraph** to create complex, stateful multi-agent orchestrations with high visibility. + Deep familiarity with **Amazon Bedrock** , OpenAI, or Anthropic APIs and the latest advancements in LLM reasoning. + Experience building and optimizing RAG (Retrieval-Augmented Generation) pipelines. Machine Learning Engineering (MLE): + Proven track record of **productionizing Data Science models** , transforming research-grade code into high-performance, scalable APIs (e.g., using FastAPI). + Experience with the full MLOps lifecycle: model deployment, versioning, and performance monitoring. + Familiarity with **Amazon SageMaker** or other cloud-based ML platforms. Cloud & Infrastructure (AWS): + Expertise in the **AWS ecosystem** : Lambda (Serverless), Step Functions, ECS/EKS (Containers), EventBridge, and S3. + Strong proficiency in **Infrastructure as Code (IaC)** using **Terraform** . + Experience building asynchronous, event-driven architectures. Observability & Engineering Excellence: + Proficiency in **Splunk** and **CloudWatch** for production monitoring and alerting. + Strong knowledge of software development life cycle (SDLC) processes, including unit testing, regression testing, and Agile concepts. + Ability to work with broad, loosely developed concepts and translate them into precise technical specifications. ## Description + **Agentic AI Innovation:** Design and implement autonomous agents using **AgentCore** and orchestrate them via **LangGraph** to ensure complex workflows are visible and manageable. + **MLE Productionization:** Partner with Data Scientists to take ML models from research notebooks into scalable, production-ready AWS environments. + **Constant Research:** Proactively research, test, and present the newest technologies, frameworks, and AI research papers to the team. You are expected to be an early adopter of tools that can improve our velocity or service quality. + **System Architecture:** Build and maintain the cloud-native infrastructure (AWS) required for AI/ML inference and agentic execution, ensuring high availability and cost-efficiency. + **Observability:** Implement deep monitoring and alerting for all services, using LangGraph for agent-specific visibility and Splunk for broader system health. + **Code Quality:** Participate in rigorous code reviews and help define the engineering standards for the Data Science team. + **Collaboration:** Work without complete specifications to help derive technology solutions that meet the evolving needs of the business. What you'll get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks (https://careers.rocket.com/culture/benefits) . ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)