Jobs / Roc***
Software Engineer II - Python
Roc*** · Detroit, MI, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
Detroit, MI, United StatesRemote
Remuneration
Not specified
Location
Detroit, MI, United States
Visa sponsorship
Sponsors visa
Job summary
As a Python Engineer on our Data Science 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.
Benefits
And healthThat will help you have peace of mind.Simply put: We’ve got your back.Check out our full list ofAbout usRocket Close is a leading national provider of title insurance, property valuatiApply today to join a team that offers career growth, amazingAnd the chance to work with leading industry professionals.This job description is an outline of the primary
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
- 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.
Responsibilities
- As a Python Engineer on our Data Science team, you will be at the forefront of our most ambitious technical initiatives.
- You will be expected to be a perpetual student of the field, constantly researching and implementing the newest
- 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
- of this position and may be modified at the discretion of the company at any time.
- 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 Careers@Roc***.com.
Degrees
AssociateDegreeMaster
Industry
AutomotiveDefenseInsurancePublic-sector
Company size
Smb