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Llm Ml Rag Jobs (NOW HIRING)

HUMAC INC.

AI Solution Architect

Phoenix, AZ · On-site

$62.50 - $82.50/hr

Skills Required AI Development with Agentic AI and Azure OpenAI LLM, ML, RAG, and human-in-the-loop workflows Net (C#, VB.Net), HTML, JavaScript, and advanced automation tools (OCR, IDP, AI/ML ...

New

Agoda

Technical Product Manager, LLM/ML Domain

Boston, MA · On-site

$181K - $209K/yr

They are seeking a Technical Product Manager to lead the development of their ML & LLM Ops ... RAG, fine-tuning, prompt management, evaluation frameworks, etc.) • Comfortable discussing ...

BrightAI

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

... RAG-enabled systems in production settings. • Stay up to date with the latest advances in LLM ... with ML development frameworks such as PyTorch, Hugging Face Transformers, or similar. Strong ...

1 point system

AI Security Engineer

O Fallon, MO · On-site

EU AI Act, MITRE ATLAS, OWASP Top 10 for LLM/ML * Hands‑on AI security experience : RAG, MCP, Agentic systems (design → production) * Security architecture & engineering : Proven track record ...

BrightAI

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

... RAG-enabled systems in production settings. • Stay up to date with the latest advances in LLM ... with ML development frameworks such as PyTorch, Hugging Face Transformers, or similar. • Strong ...

BrightAI

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

... RAG-enabled systems in production settings. • Stay up to date with the latest advances in LLM ... with ML development frameworks such as PyTorch, Hugging Face Transformers, or similar. Strong ...

Autonomize Inc

ML/LLM Engineer - Applied AI

Austin, TX · On-site

Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.) * Fine-tune and evaluate LLMs using both open-source and proprietary data * Collaborate ...

SES

Python/Gen AI Developer

Reston, VA · On-site

$52.25 - $72/hr

SQL * AWS Data Services * LLM * ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in ... Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG)

Saransh Inc

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

LLM & Generative AI Development * Agent-Based Systems * Retrieval-Augmented Systems (RAG) * Enterprise AI Integration * AI/ML, Data Science, AI Architecture, Python, LLM, CI/CD Must Have Skills: • ...

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Llm Ml Rag information

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$45K

$75.3K

$110K

How much do llm ml rag jobs pay per year?

As of Jul 16, 2026, the average yearly pay for llm ml rag in the United States is $75,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced when working on Retrieval-Augmented Generation (RAG) systems in large language model (LLM) machine learning roles?

Professionals working on LLM ML RAG systems often encounter challenges such as ensuring the accuracy and relevancy of retrieved documents, managing latency for real-time queries, and seamlessly integrating retrieval mechanisms with generation models. Additionally, keeping up with evolving datasets and maintaining high-quality knowledge bases can be demanding. Collaboration with data engineers and domain experts is common to refine retrieval pipelines and optimize the end-to-end system.

What is the difference between Llm Ml Rag vs Data Scientist?

AspectLlm Ml RagData Scientist
Required CredentialsMaster's or PhD in ML, AI, or related fields; certifications in ML frameworksDegree in Computer Science, Statistics, or related; certifications in data analysis or ML
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, product development teams
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, tech, consulting firms
Common Search & ComparisonOften compared for ML specialization and research focusCompared for data analysis, modeling, and business insights

While both roles involve working with machine learning, Llm Ml Rag typically focuses on research and development of large language models, requiring advanced ML expertise. Data Scientists often work on analyzing data, building predictive models, and deriving insights for business decisions. The roles overlap in skills but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as an LLM ML RAG (Retrieval-Augmented Generation) Engineer, and why are they important?

To excel as an LLM ML RAG Engineer, you need a strong background in machine learning, natural language processing, and large language models, typically supported by a degree in computer science or a related field. Proficiency with tools and frameworks like Python, PyTorch/TensorFlow, Hugging Face Transformers, and vector databases (e.g., FAISS, Pinecone) is essential, along with experience in deploying and fine-tuning LLMs and integrating retrieval systems. Strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams distinguish top performers in this role. These skills ensure the effective development and deployment of advanced AI solutions that combine generative and retrieval capabilities for high-impact applications.

What are LLM ML RAG jobs?

LLM ML RAG jobs involve working with Large Language Models (LLMs), Machine Learning (ML), and Retrieval-Augmented Generation (RAG) systems. Professionals in these roles typically design, develop, and optimize AI systems that combine language models with retrieval techniques to improve accuracy, relevance, and factual grounding in generated outputs. These jobs often require expertise in natural language processing, deep learning, data engineering, and information retrieval. Key responsibilities might include integrating RAG pipelines, fine-tuning LLMs, and ensuring high-quality responses from AI applications.
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Llm Ml Rag jobs near you
Infographic showing various Llm Ml Rag job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $75,300 per year, or $36.2 per hour.
AI Solution Architect

AI Solution Architect

HUMAC INC.

Phoenix, AZ • On-site

$62.50 - $82.50/hr

Other

Posted 3 days ago

New

Job description

AI Solutions Architect Phoenix, AZ -- Remote 100% Remote Except the first day which requires picking up equipment.

NOTE: Local only to Phoenix.

The Artificial Intelligence ( AI ) Solutions Architect ( Contractor ) will work with our existing internal AI product management team, Vendor Teams and existing development staff to develop, enhance and streamline our AI systems.
Skills Required
AI Development with Agentic AI and Azure OpenAI
LLM, ML, RAG, and human-in-the-loop workflows
Net (C#, VB.Net), HTML, JavaScript, and advanced automation tools (OCR, IDP, AI/ML)
Demonstrable written and oral communication skills
Ability to design and implement AI agentic solutions from business and technical requirements
Ability to develop technical specifications, designs, and architecture artifacts
Ability to break down business problems into logical tasks and think creatively
Ability to perform code analysis to understand how code is implemented
Ability to manage multiple tasks and changing priorities

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