Software Engineer II - Python AI Engineer

Rocket; Detroit (MI); On-site; USD 140,000 - 190,000; Full time

Job summary

Rocket Close is seeking an experienced Python AI Engineer to lead the creation of Agentic AI systems and productionize ML models within our Data Science/AI Platform. You will push the boundaries of cloud-native AI, collaborating with data scientists and leveraging AgentCore and LangGraph for orchestrated, observable workflows.

You will stay at the forefront of the field, researching new technologies and applying them to scalable, high‑availability services on AWS.

Qualifications

• Master's degree in CS/ML or equivalent professional experience (3–5+ years).
• Expert-level Python for distributed, cloud-native services.
• Experience bridging research to production in DS/ML environments.

Responsibilities

• Design autonomous agents using AgentCore and orchestrate with LangGraph for visibility.
• Partner with Data Scientists to productionize ML models in AWS environments.
• Research and prototype new AI tools and frameworks to improve velocity and quality.
• Build and maintain cloud-native infrastructure for AI/ML inference (AWS).
• Implement deep monitoring and alerting with LangGraph and Splunk.
• Contribute to engineering standards and rigorous code reviews.
• Collaborate with teams to translate vague concepts into precise specs.

Skills

Python expert

Distributed systems

Cloud-native services

Data science in production

ML productionization

Agile methods

Education

Master's degree or equivalent

Tools

AgentCore

LangGraph

AWS (S3, Lambda, Step Functions)

Terraform

FastAPI

SageMaker

Splunk

CloudWatch

Job description

As a Python AI Engineer on our Data Science/AI Platform team, you will be at the forefront of our most ambitious technical initiatives. Your role is dual‑purposed: you will build and orchestrate next‑generation Agentic AI systems using AgentCore and LangGraph, and you will act as a Machine Learning Engineer (MLE) to productionize the sophisticated models developed by our Data Scientists.

We don't just follow industry trends; we aim to set them. You will be expected to be a perpetual student of the field, constantly researching and implementing the newest technologies to ensure our platform remains world‑class.

Minimum Qualifications

• 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.

Key Responsibilities

• 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.

On-Call Expectations

This role may include participation in an on‑call rotation to support production systems and ensure service reliability. On‑call responsibilities may include coverage during nights and weekends. If applicable, frequency and scheduling will be determined by team needs and communicated accordingly.

About Us

Rocket Close is a leading national provider of title insurance, property valuations and settlement services. Here, you’ll be given all the resources and support needed to deliver innovative solutions and in turn, your hard work will be rewarded with a competitive compensation package and an array of other amazing benefits.

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state and federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at [e-mail].