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Assistant Llm Developer Jobs (NOW HIRING)

E-Solutions

$17.25 - $23.25/hr

Assistant For Enhancing Large Language Models This position is within a project with one of the ... Experience in any programming language or tech stack is acceptable; a strong grasp of APIs, data ...

Polygon Labs

AI Developer Experience Engineer

Evaluate, research, integrate, and configure third-party AI tools (coding assistants, LLM ... Prior experience in a developer experience, platform engineering, or internal tooling role ...

BrightAI

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

... assistants to support technicians in diagnosing and resolving anomalies or failures in factory ... LLM architectures, retrieval methods, and prompt engineering, and integrate emerging techniques ...

MSRCosmos

AI Solution Architect

Bellevue, WA · Hybrid

$71 - $93.75/hr

... assistants LLM APIs prompt engineering costperf controls Azure AI Search vector search hybrid retrieval custom scoring reranking Azure ML training deployment model registry pipelines Cognitive ...

Diverse Lynx

SCCM ENGINEER

Manhattan, NY · On-site

SCCM Engineer Work Location: Manhattan, NYC (local preferred) Required skills: * 8+ years in End ... Hands-on experience with AI coding assistants, LLM-based tools, or AI development environments at ...

Stackinfra

AI Solution Architect

Denver, CO · On-site

KEY RESPONSIBILITIES Generative AI, LLM Engineering & Intelligent Routing * Design, develop, and deploy production GenAI solutions including custom assistants, multi-agent systems, and LLM-powered ...

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Assistant Llm Developer information

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How much do assistant llm developer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for assistant llm developer in the United States is $19.90, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $20.67 per hour, depending on experience, location, and employer.

What is the difference between Assistant Llm Developer vs Machine Learning Engineer?

AspectAssistant Llm DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; familiarity with NLP and LLMsBachelor's or higher in CS, Data Science, or related; strong ML background
Work EnvironmentTech companies, AI startups, research labsTech firms, AI companies, research institutions
Employer & Industry UsageFocus on developing and fine-tuning language modelsDesigning, building, deploying ML models across domains

Assistant Llm Developers typically focus on developing and fine-tuning language models, often working closely with NLP teams. Machine Learning Engineers have a broader scope, designing and deploying various ML models across industries. Both roles require strong technical skills, but Assistant Llm Developers specialize more in language-specific AI applications.

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What cities are hiring for Assistant Llm Developer jobs? Cities with the most Assistant Llm Developer job openings:
What are the most commonly searched types of Llm Developer jobs? The most popular types of Llm Developer jobs are:
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What job categories do people searching Assistant Llm Developer jobs look for? The top searched job categories for Assistant Llm Developer jobs are:
Assistant Llm Developer jobs near you
Infographic showing various Assistant Llm Developer job openings in the United States as of May 2026, with employment types broken down into 27% Full Time, and 73% Part Time. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $41,393 per year, or $19.9 per hour.
Senior AI Engineer - LLM, RAG

Senior AI Engineer - LLM, RAG

BrightAI Corporation

Palo Alto, CA • On-site

$122K - $168K/yr

Full-time

Posted 29 days ago

Job description

Senior AI Engineer - RAG Systems
Bright.AI is a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation. Our AI platform processes visual, spatial, and temporal data from billions of real-world events-captured across edge devices, mobile sensors, and cloud infrastructure-to enable intelligent decision-making at scale.
We are now hiring a Senior AI Engineer - LLM, RAG to lead the development of Retrieval-Augmented Generation (RAG) systems that harness the power of large language models (LLMs) and real-world knowledge sources. This role is pivotal to building next-generation intelligent assistants that help technicians and operators troubleshoot complex issues in industrial settings.
You'll work at the intersection of NLP, foundational models, and real-time information systems-developing intelligent tools that turn manuals, technician notes, and sensor data into actionable, conversational guidance for the physical world.
Responsibilities
  • Lead the architecture and development of RAG systems that combine LLMs (e.g., LLAMA, Mistral, Claude, GPT) with structured and unstructured external information sources.
  • Develop AI-powered assistants to support technicians in diagnosing and resolving anomalies or failures in factory, plant, or industrial settings.
  • Build pipelines to ingest, preprocess, and index large corpora of documents (manuals, logs, notes, procedures) for semantic search and grounding.
  • Customize and fine-tune foundational models to incorporate domain-specific language, tone, and logic for industrial troubleshooting scenarios.
  • Collaborate with product, data, and cloud teams to design scalable, privacy-compliant, and latency-sensitive LLM applications.
  • Design evaluation strategies to measure performance, accuracy, and user experience of RAG-enabled systems in production settings.
  • Stay up to date with the latest advances in LLM architectures, retrieval methods, and prompt engineering, and integrate emerging techniques into the product roadmap.
Educational Background
  • M.S. or Ph.D. in Computer Science, AI, Machine Learning, or a related field, with specialization in NLP or deep learning.
  • Strong research or applied background in large language models (LLMs) and retrieval-augmented generation (RAG) systems. Agentic RAG experience is highly desirable.
Required Skills & Expertise
  • 5+ years of experience in machine learning or AI with a strong focus on NLP, LLMs, or conversational AI.
  • Fluency with modern LLMs and open-source foundational models (e.g., LLAMA, Falcon, Mistral, GPT, Claude).
  • Experience building RAG pipelines with tools like LangChain, LlamaIndex, or custom vector database integrations, with at least one production grade system was built.
  • Fluency with prompt engineering, instruction tuning, or fine-tuning open-source models.
  • Deep understanding of document retrieval (semantic search, embedding generation, similarity metrics) and vector stores (e.g., FAISS, Weaviate, Pinecone).
  • Strong foundation in core machine learning techniques, including experience with reinforcement learning (RL) or decision-making models.
  • Proficiency with ML development frameworks such as PyTorch, Hugging Face Transformers, or similar. Strong Python programming is a must.
  • Experience integrating AI systems into real-world applications with user-facing interfaces and operational constraints.
  • Excellent problem-solving and critical thinking skills; ability to design solutions for complex, ambiguous problems.
  • Strong written and verbal communication skills, with ability to collaborate cross-functionally with engineers, product managers, and domain experts.
Bonus Qualifications
  • Experience applying LLMs in industrial or physical infrastructure settings (e.g., manufacturing, logistics, utilities, energy).
  • Knowledge of industrial control systems, maintenance workflows, or technician support processes.
  • Exposure to multimodal models or integrating textual data with sensor and/or time-series data.
  • Prior experience in a startup or a fast-paced environment building LLM-powered products from the ground up.
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About BrightAI

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2019

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