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Director Llm Engineer Jobs in Michigan (NOW HIRING)

Prompt Engineer

Novi, MI · On-site

$76 - $99/hr

S.) Position Type: Full-time, Direct W2 Salary Range: $76,000-$99,000 Annually Experience Required ... The ideal candidate has shipped LLM-powered products in production, is fluent in prompt design ...

Software Engineer

Lansing, MI · On-site

$105 - $140/hr

Exposure to modern tooling, including AI-powered development workflows and LLM coding assistants. * Small, collaborative engineering team with direct input into architecture and product direction. #J ...

LLM gateways, agent orchestration, and the operational patterns that come with non-deterministic ... directed, not assigned What We're Looking For * Demonstrated experience designing, building, or ...

... Director & Summary At PwC, our people in data and analytics engineering focus on leveraging ... LLM outputs - Developing scalable data storage solutions using cloud services - Designing and ...

Hands-on experience with LLM-based applications, AI frameworks, or agent tooling (e.g., LangChain ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...

Hands-on experience with LLM-based applications, AI frameworks, or agent tooling (e.g., LangChain ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...

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Director Llm Engineer information

What is the difference between Director Llm Engineer vs Machine Learning Engineer?

AspectDirector Llm EngineerMachine Learning Engineer
CredentialsAdvanced degrees in CS, AI, or related fields; extensive experience in NLP and LLMsBachelor's or Master's in CS, AI, or related fields; strong programming skills
Work EnvironmentLeadership roles overseeing teams, strategic planning, and project management in AI/ML projectsHands-on development, model training, and algorithm implementation in AI/ML projects
Industry UsageUsed in organizations with large AI teams, focusing on LLM strategy and architectureCommon across tech companies, startups, and research labs for developing ML models

The main difference is that a Director Llm Engineer focuses on leading AI teams and strategic oversight of LLM projects, while a Machine Learning Engineer is more involved in the technical development and implementation of ML models. Both roles require strong technical skills, but the Director Llm Engineer emphasizes leadership and vision in the AI domain.

What are the most commonly searched types of Llm Engineer jobs in Michigan?

The most popular types of Llm Engineer jobs in Michigan are:

What are popular job titles related to Director Llm Engineer jobs in Michigan?

For Director Llm Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Director Llm Engineer jobs in Michigan look for?

The top searched job categories for Director Llm Engineer jobs in Michigan are:

What cities in Michigan are hiring for Director Llm Engineer jobs?

Cities in Michigan with the most Director Llm Engineer job openings:

Senior GCP Data Engineer With AI/LLM (W2 Position)

Megan soft Inc

Dearborn Heights, MI • On-site

$97K - $132K/yr

Other

Re-posted 11 days ago


Job description

Hi We have a job opportunity of a Role Senior GCP Data Engineer With AI/LLM with given job description on W2. Please forward updated profile to Koti@megansoft.com or +1  (248) 671-4750.

Role: Senior GCP Data Engineer With AI/LLM (W2 Position)

Location: Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 10+ Years

Note : please dont share profiles who are not comfortable to Work On W2

JD:

Skills Required:

GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API

  • GCP – Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub.
  • Big Data – Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
  • Data Warehousing – Experience designing and maintaining data warehouse solutions (e.g., BigQuery, Snowflake, Redshift). For example, modeling a star schema for a retail analytics platform that supports reporting on sales, inventory, and customer behavior.
  • Artificial Intelligence & Expert Systems – Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions.
  • API – Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Skills Preferred:

Google Cloud Platform

  • Google Cloud Platform – Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Experience Required:

Senior Engineer Exp: 10+ years Data Engineering  work experience

Experience Preferred:

  • Operational Excellence: Using Terraform, Git, and Airflow to ensure reproducible, secure, and cost-optimized cloud infrastructure.
  • Governance & Quality: Prioritizing data lineage, PII protection, and observability to maintain high trust in data assets.
  • Collaboration: Acting as a bridge between technical teams (Data Science, Security) and business stakeholders to deliver self-service analytics. Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Proven experience in building and deploying RAG systems, including the use of **Vector Databases**.
  • Proficiency in Python programming.
  • Solid experience with SQL for data manipulation and querying.
  • Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML.
  • Basic understanding and practical experience with Machine Learning model fine-tuning.
  • Familiarity with data engineering concepts and practices.
  • Expertise in prompt engineering techniques for interacting with LLMs.
  • Experience with the OpenAI SDK.
  • Experience developing robust APIs, preferably with **FastAPI**.
  • Proficiency with **version control systems (e.g., Git)**.
  • Experience with **containerization technologies (e.g., Docker)**.
Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1  (248) 671-4750
E Mail : Koti@megansoft.com
Website : www.megansoft.com
Linked In ID : www.linkedin.com/in/koti-azmeera-104253335