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Software Engineer Ai Remote Jobs in Michigan (NOW HIRING)

Cisco

Senior Software Engineer, Backend

Ann Arbor, MI · On-site +1

$165K - $241K/yr

... the software development lifecycle. Preferred Qualifications * Programming experience in Rust ... the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that ...

Bright Vision Technologies

AI Security Engineer

Troy, MI · Remote

$80K - $105K/yr

AI Security Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

OneStream

AI Engineer

Birmingham, MI · Remote

Design and develop scalable, high-performance applications and services using a variety of software ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Gentex

Software Systems Engineer

Zeeland, MI · On-site +1

$159K - $188K/yr

This role is not eligible for remote work. WHAT YOU'LL DO * Consistently execute the processes for ... Engineering or a related field. * 5 years technical experience in systems or software development ...

Gentex

Software Systems Engineer

Grand Rapids, MI · On-site +1

$166K - $196K/yr

This role is not eligible for remote work. WHAT YOU'LL DO * Consistently execute the processes for ... Engineering or a related field. * 5 years technical experience in systems or software development ...

X by 2

Software Engineering Manager

Detroit, MI · On-site +1

Hybrid remote model allows the flexibility to work remotely as much as desired. * Paid time off for ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Software Engineer Ai Remote information

How does a remote software engineer AI typically collaborate with cross-functional teams?

As a remote Software Engineer focused on AI, you'll frequently collaborate with data scientists, product managers, and other engineers through digital platforms. Daily interactions often involve virtual stand-ups, code reviews, and shared documentation to ensure alignment on project goals and timelines. Effective communication and proactive updates are crucial, as much of the teamwork happens asynchronously. You'll also participate in brainstorming sessions and sprint planning to integrate AI solutions that meet both business and technical requirements.

What does a software engineer AI remote do?

A Software Engineer AI (Remote) is responsible for designing, developing, and implementing artificial intelligence algorithms and systems while working from a remote location. They collaborate with teams to build machine learning models, integrate AI solutions into products, and ensure the scalability and reliability of AI-driven applications. In addition to coding and model training, they may also work on data preprocessing, deployment, and performance monitoring—all while communicating effectively with team members using digital tools.

What are the key skills and qualifications needed to thrive as a software engineer AI remote?

To thrive as a Software Engineer AI (Remote), you need a strong background in computer science, programming (Python, Java, C++), machine learning principles, and typically a degree in a related field. Familiarity with deep learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and version control systems (Git) is commonly required, along with relevant certifications. Excellent problem-solving, self-motivation, and clear communication are vital soft skills, especially for remote collaboration. These skills ensure you can develop effective AI solutions, work autonomously, and contribute meaningfully to distributed teams.

What is the difference between Software Engineer Ai Remote vs Data Scientist Ai Remote?

AspectSoftware Engineer Ai RemoteData Scientist Ai Remote
Required CredentialsBachelor's in CS or related field, programming skills, AI/ML knowledgeBachelor's or higher in CS, Statistics, or related, strong analytical skills
Work EnvironmentRemote, collaborative teams, software development lifecycleRemote, data analysis, model building, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for AI roles involving coding and software developmentCompared for roles focusing on data analysis and model deployment

While both roles work remotely and involve AI, Software Engineer Ai Remote primarily focuses on developing AI software and applications through coding, whereas Data Scientist Ai Remote emphasizes analyzing data, building models, and deriving insights. The choice depends on whether you prefer software development or data analysis within the AI field.

What are popular job titles related to Software Engineer Ai Remote jobs in Michigan? For Software Engineer Ai Remote jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Software Engineer Ai Remote jobs in Michigan look for? The top searched job categories for Software Engineer Ai Remote jobs in Michigan are:
What cities in Michigan are hiring for Software Engineer Ai Remote jobs? Cities in Michigan with the most Software Engineer Ai Remote job openings:
Software Engineer Ai Remote jobs near you
Infographic showing various Software Engineer Ai Remote job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

AI Machine Learning Engineer (AI / ML: Python / Go)

Benzinga

Detroit, MI • On-site, Remote

Full-time

Posted 21 days ago

Job description

About Benzinga
Benzinga is a fast-growing financial media and data technology company reshaping how investors access information. We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream. Our platforms deliver structured news, sentiment analytics, and financial data APIs used by leading banks, fintechs, and AI companies worldwide.
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering - someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests.
The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.
Key Responsibilities
AI / Machine Learning
  • Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains.
  • Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for financial news and quantitative data.
  • Develop model serving APIs and scalable inference layers using Go or Python.
  • Implement model monitoring, drift detection, and continuous retraining pipelines.
  • Work with financial text (earnings call transcripts, filings, news) to extract structured insights.
  • Collaborate with data engineers to build training datasets, feature stores, and embedding databases.

Backend & Infrastructure
  • Develop and maintain high-performance Python or Go microservices that integrate with AI systems and Go data APIs.
  • Design and optimize real-time inference pipelines on AWS, leveraging ECS/EKS, S3, and Lambda.
  • Ensure low-latency, fault-tolerant, and scalable delivery of AI-powered data.
  • Implement CI/CD for ML workflows, including containerization, automated deployment, and versioning.
  • Partner with DevOps to manage cloud infrastructure and ensure robust observability for AI workloads.

Requirement for applying:
  • During your screening you will be required to submit a Loom video walkthrough of your most exceptional product, share relevant code/repo links, and describe the biggest challenge you faced building it.

Required Qualification
  • 4+ years of experience in AI/ML or data engineering roles, with a proven track record of deploying ML models in production.
  • Computer science degree (Bachelor minimum)
  • Deep proficiency in Python (data, ML) and Go (backend, microservices).
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
  • Experience with transformer architectures, embeddings, or fine-tuning LLMs.
  • Strong understanding of data pipelines, feature extraction, and model lifecycle management.
  • Familiarity with Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2).
  • Excellent problem-solving skills and ability to work independently in a distributed environment.

Preferred Skills / Experience
  • Startup experience.
  • Financial services or fintech background
  • Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN).
  • Experience with Kafka, LangChain, or data streaming architectures.
  • Familiarity with financial data systems, real-time analytics, or news NLP.
  • Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.).
  • Contributions to open-source ML or Go projects are a strong plus.

Tech Stack
  • Languages: Python, Go
  • ML Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain
  • Cloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)
  • Containers & Orchestration: Docker, Kubernetes
  • Data & Streaming: Kafka, Postgres, OpenSearch
  • CI/CD: GitHub Actions, GitLab CI
  • Monitoring: Datadog, Prometheus, Grafana
  • Version Control: Git (Gitlab / Github)

Why Join Benzinga
  • Build and ship production AI systems that shape how financial markets understand information.
  • Operate with full creative freedom - explore, experiment, and execute your ideas end-to-end.
  • Work with a lean, highly technical team where initiative and ownership are celebrated.
  • Fully remote, high-trust environment that rewards curiosity, speed, and execution.
Benzinga logo

About Benzinga

Sourced by ZipRecruiter

Benzinga is a full-service news and media company with three main areas of expertise: real-time news, actionable trading ideas and insightful commentary. We offer coverage of all aspects of the financial market including corporate, economic and political content. With strong connections in and around the market, we strive to provide high quality and relevant news for the real-time environment that defines today's world.

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Detroit, MI, US

Year founded

2010

Social media

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