Senior AI Engineer
Miracle Software Systems, Inc., Lansing, MI, United States
Overview
We are looking for a Senior Full Stack Developer to build and scale AI‑powered platforms that accelerate our vehicle development lifecycle. In the Product Development (PD) space, your work will directly impact how we design, engineer, and validate the next generation of vehicles. You will be responsible for taking AI prototypes—ranging from generative design tools to automated engineering documentation assistants—and turning them into robust, high-performance software products used by our global engineering teams.
Responsibilities
Design and develop full‑stack applications that integrate AI into the PD workflow (e.g., tools for CAD optimization, automated requirement analysis, or simulation data synthesis).
Build Retrieval‑Augmented Generation (RAG) systems that allow engineers to query decades of technical standards, testing logs, and past vehicle program data.
Create sophisticated front‑end interfaces to visualize complex engineering data, 3D models, or simulation results in real‑time.
Take proof‑of‑concept AI models developed by R&D teams and architect them into scalable, production‑ready internal products.
Develop high‑throughput APIs to connect AI services with existing PLM and ERP systems.
Required Skills
Strong experience with Python
Strong experience with React
Experience building and integrating APIs
Big Data handling and processing
Data analysis and data acquisition/ingestion pipelines
Java experience (nice‑to‑have)
Familiarity with Google Cloud Platform (GCP); experience with Azure or AWS acceptable, though transition to GCP required
Preferred Skills
Background in AI orchestration (LangChain, LlamaIndex, Semantic Kernel)
Advanced Python (FastAPI/Django) knowledge
Expert knowledge of SQL (PostgreSQL) and vector databases; data lake experience
Strong Docker, Kubernetes, and CI/CD pipeline experience including model evaluation steps
Experience with cloud architecture, IAM, CI/CD, security measures, and networking concepts in GCP
Domain expertise in product development lifecycle (Design, CAE, Testing, Launch); automotive, aerospace or heavy manufacturing experience a plus
Experience
6+ years in IT; 4+ years in development (Engineer 3 or equivalent). Proven ability to translate complex engineering requirements into intuitive software features.
EEO Statement
Applicants are considered for employment without attention to or discrimination against race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All employment is decided on the basis of qualifications, merit and business need.
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We are looking for a Senior Full Stack Developer to build and scale AI‑powered platforms that accelerate our vehicle development lifecycle. In the Product Development (PD) space, your work will directly impact how we design, engineer, and validate the next generation of vehicles. You will be responsible for taking AI prototypes—ranging from generative design tools to automated engineering documentation assistants—and turning them into robust, high-performance software products used by our global engineering teams.
Responsibilities
Design and develop full‑stack applications that integrate AI into the PD workflow (e.g., tools for CAD optimization, automated requirement analysis, or simulation data synthesis).
Build Retrieval‑Augmented Generation (RAG) systems that allow engineers to query decades of technical standards, testing logs, and past vehicle program data.
Create sophisticated front‑end interfaces to visualize complex engineering data, 3D models, or simulation results in real‑time.
Take proof‑of‑concept AI models developed by R&D teams and architect them into scalable, production‑ready internal products.
Develop high‑throughput APIs to connect AI services with existing PLM and ERP systems.
Required Skills
Strong experience with Python
Strong experience with React
Experience building and integrating APIs
Big Data handling and processing
Data analysis and data acquisition/ingestion pipelines
Java experience (nice‑to‑have)
Familiarity with Google Cloud Platform (GCP); experience with Azure or AWS acceptable, though transition to GCP required
Preferred Skills
Background in AI orchestration (LangChain, LlamaIndex, Semantic Kernel)
Advanced Python (FastAPI/Django) knowledge
Expert knowledge of SQL (PostgreSQL) and vector databases; data lake experience
Strong Docker, Kubernetes, and CI/CD pipeline experience including model evaluation steps
Experience with cloud architecture, IAM, CI/CD, security measures, and networking concepts in GCP
Domain expertise in product development lifecycle (Design, CAE, Testing, Launch); automotive, aerospace or heavy manufacturing experience a plus
Experience
6+ years in IT; 4+ years in development (Engineer 3 or equivalent). Proven ability to translate complex engineering requirements into intuitive software features.
EEO Statement
Applicants are considered for employment without attention to or discrimination against race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All employment is decided on the basis of qualifications, merit and business need.
#J-18808-Ljbffr