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Rag Llm Jobs in Rochester, MI (NOW HIRING)

Kobie Marketing

AI Engineer

Detroit, MI · On-site +1

... RAG * Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel * Experience with LLM observability tools: Amazon CloudWatch, LangSmith ...

Kobie Marketing

AI Engineer

Detroit, MI · Remote

... RAG * Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel * Experience with LLM observability tools: Amazon CloudWatch, LangSmith ...

Kobie Marketing

AI Engineer

Detroit, MI · Remote

... RAG * Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel * Experience with LLM observability tools: Amazon CloudWatch, LangSmith ...

General Motors

Senior Software Engineer (.NET )

Warren, MI · On-site +1

$115K - $151K/yr

Experience building AI/LLM-based applications, preferably with agentic workflows * Strong understanding of RAG architecture, embeddings , vector search , prompt design, context retrieval and LLM ...

General Motors

Senior Software Engineer (.NET )

Warren, MI · On-site

$115K - $151K/yr

Experience building AI/LLM-based applications, preferably with agentic workflows * Strong understanding of RAG architecture, embeddings , vector search , prompt design, context retrieval and LLM ...

Versigent

AI Build Engineer Manager

Troy, MI

Strong hands-on experience integrating LLMs, building RAG pipelines, and working with vector ... Experience with LLM Ops frameworks: model evaluation (Ragas, Arize Phoenix), monitoring, versioning ...

Stellantis

Cloud Software Engineer

Auburn Hills, MI · On-site

$56.75 - $73.75/hr

RAG-based services or LLM API integration * Model API orchestration and monitoring Basic Qualifications: * Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a ...

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

Architect and implement end‑to‑end LLM systems , including: * Prompt pipelines * Agent‑based architectures * Retrieval‑Augmented Generation (RAG) systems * Internal AI services and APIs

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Rag Llm information

See Rochester, MI salary details

$41.4K

$69.3K

$101.3K

How much do rag llm jobs pay per year?

As of Aug 12, 2026, the average yearly pay for rag llm in Rochester, MI is $69,310.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $80,100.00 per year, depending on experience, location, and employer.

What is the difference between Rag Llm vs Data Scientist?

AspectRag LlmData Scientist
Required CredentialsTypically a master's or PhD in AI, machine learning, or related fieldsUsually a master's or PhD in data science, statistics, or computer science
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, tech firms, consulting
Industry UsageAI research, natural language processing, machine learning projectsData analysis, predictive modeling, data-driven decision making

Rag Llm and Data Scientist roles often overlap in AI and data analysis fields, but Rag Llm focuses more on language models and AI research, while Data Scientists handle broader data analysis and modeling tasks. Both require advanced degrees and work in tech-driven environments, but their core responsibilities differ in scope and application.

What is a RAG LLM?

RAG LLMs, or Retrieval-Augmented Generation Large Language Models, are advanced AI systems that combine the strengths of traditional language models with external data retrieval systems. They work by first searching a relevant database or knowledge base for up-to-date information, and then using a language model to generate responses based on both the retrieved content and their own training. This approach helps LLMs provide more accurate, current, and contextually relevant answers, especially for specialized or rapidly changing topics. RAG LLMs are widely used in customer support, research, and enterprise applications to improve information accuracy and reliability.

How do RAG LLM engineers collaborate with data scientists and product teams to improve retrieval-augmented generation systems?

RAG LLM engineers often work closely with data scientists to fine-tune retrieval mechanisms, optimize model performance, and evaluate system outputs. They also collaborate with product teams to understand user needs, integrate feedback, and ensure the system delivers relevant, accurate information. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment focused on continuous improvement and innovation in response to real-world challenges.

What are the key skills and qualifications needed to thrive as a Retrieval-Augmented Generation (RAG) LLM engineer?

To thrive as a Retrieval-Augmented Generation (RAG) LLM Engineer, you need a strong background in natural language processing, machine learning, and software development, often supported by a degree in computer science or a related field. Familiarity with frameworks like PyTorch, Hugging Face Transformers, vector databases, and cloud platforms, along with experience deploying large language models, is essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaboration and innovation in this fast-evolving space. These skills ensure the development of robust, scalable, and accurate retrieval-augmented AI systems that meet real-world information needs.
What job categories do people searching Rag Llm jobs in Rochester, MI look for? The top searched job categories for Rag Llm jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Rag Llm jobs? Cities near Rochester, MI with the most Rag Llm job openings:
Rag Llm jobs near you

Enterprise Palantir Solutions Architect - iDEA by Lear

Lear Corporation

Southfield, MI • On-site

Full-time

Re-posted 19 days ago

Lear Corporation rating

7.3

Company rating: 7.3 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

102nd of 157 rated electronics manufacturers

Job description

Job Summary:
Lear Corporation is a global Tier 1 automotive supplier focused on accelerating digital and automation transformation through its IDEA initiative. They are seeking a high-caliber Enterprise Palantir Solution Architect to provide architectural leadership across solution design and development for Palantir platforms, ensuring secure, scalable, and reliable solutions.
Responsibilities:
• Serve as Lear’s enterprise authority for Palantir Foundry and AIP, including Ontology, Object Types, Transformations, Feature Sets, AIP Agents, Solution Designer, and developer tooling.
• Stay current on Palantir platform releases, including AI FDE, AI Pilot, AIP enhancements, compute changes, and emerging Foundry capabilities.
• Design scalable, well‑patterned data and AI solutions that leverage the strengths of Foundry and AIP.
• Lead the end-to-end architecture of solutions — from data ingestion and harmonization to AI/analytics workflows, application experiences, and data delivery endpoints.
• Provide architectural guidance on internal and external integrations, including APIs, event-driven pipelines, data exchanges, partner integrations, and secure data products.
• Facilitate architecture reviews, solution documentation, and alignment with Lear’s enterprise architecture principles.
• Architect secure-by-design solutions using Foundry’s granular permissioning, object-level controls, and lineage-based access patterns.
• Ensure compliance with enterprise security standards, regulatory needs, and global data protection policies.
• Optimize Foundry compute workloads (PySpark, Code Repositories, Pipelines, applications) for performance, elasticity, and cost efficiency.
• Architect scalable infrastructure patterns for AIP agents, LLM-backed workflows, and compute-heavy workloads.
• Ensure solutions include data quality monitoring, validation rules, schema controls, and reliability SLAs.
• Design automated or “intelligent” data health monitoring patterns, alerting, lineage tracking, and remediation workflows.
• Collaborate closely with ontology and data engineering teams to ensure semantic consistency and trustworthy data foundations.
• Conduct detailed production readiness assessments covering architecture, security, performance, data quality, observability, DR/BCP, and support models.
• Develop reusable components, patterns, accelerators, and templates that increase solution velocity and consistency for all teams.
• Coach teams on Palantir architecture patterns, platform capabilities, performance optimization, and secure workflows.
• Collaborate cross-functionally with engineering, data science, manufacturing, quality, finance, and commercial stakeholders.
• Contribute to platform roadmap discussions and strategic planning as Lear expands its enterprise data and AI ecosystem.
Qualifications:
Required:
• Bachelor’s in Computer Science, Information Systems, Data Engineering, or related technical field.
• 5+ years of experience in IT architecture, data platforms, or enterprise solution design.
• 3–5+ years of hands‑on Palantir Foundry architecture experience, including Ontology, pipelines, transformations, application development, and data modeling.
• Strong working knowledge of Palantir AIP, including agent frameworks, LLM workflows, grounding strategies, and secure prompt design.
• Experience designing end‑to‑end data architectures (ingestion → harmonization → semantic modeling → delivery).
• Deep understanding of identity, access management, security patterns, logging, and compliance considerations.
• Expertise in documenting and communicating architecture designs and reviewing solutions for alignment and quality.
Preferred:
• Experience with manufacturing, industrial systems, or supply chain operations (ISA‑95, plant hierarchies, OEE, BOM, routings, genealogy).
• Knowledge of MLOps, LLM/RAG patterns, or operational AI systems.
• Architectural certifications (TOGAF, cloud architecture certifications, etc.).
• Experience designing intelligent monitoring, observability, and reliability engineering patterns.
Company:
The Lear Corporation is a Fortune 500 company with world-class products designed, Founded in 1917, the company is headquartered in Southfield, USA, with a team of 10001+ employees. The company is currently Late Stage.

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