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Nemo Design Jobs (NOW HIRING)

Merican

AWS AI Engineer

Herndon, VA · On-site

Design, deploy, and upgrade Amazon EKS clusters in production environments * Perform advanced ... Knowledge of AI governance, security guardrails (e.g., NeMo Guardrails), and cost control for LLMs

Nvidia

OR

$122.40K - $161.30K/yr

This role will focus on NeMo Evaluator, which helps teams understand whether changes to AI agents ... Design and implement Python-first APIs, SDK workflows, and plugin interfaces for building ...

Nvidia

Solutions Architect, Generative AI

Santa Clara, CA · On-site

$74 - $97.50/hr

... to design and deploy Generative AI solutions at scale. Maintain strong relationships with ... Hands-on experience with LLM and agentic frameworks (NeMo Agent Toolkit, LangChain, Semantic Kernel ...

Nvidia

OR

$63.50 - $87/hr

Become the primary technical driver for customers during the design, development, construction ... NVIDIA NeMo Framework, NVIDIA Dynamo, NeMo Retriever, NVIDIA Triton Inference Server, TensorRT ...

NVIDIA

Solutions Architect, Generative AI

Santa Clara, CA · On-site

$74 - $97.50/hr

... to design and deploy Generative AI solutions at scale. Maintain strong relationships with ... Preferred : • Demonstrate expertise in building applications and systems using NeMo Framework ...

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All JobsNemo Design Jobs

Nemo Design information

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$80.5K

$139.4K

$182.5K

How much do nemo design jobs pay per year?

As of May 31, 2026, the average yearly pay for nemo design in the United States is $139,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,000.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Graphic Designer, and why are they important?

To thrive as a Graphic Designer, you need a solid background in visual design principles, proficiency in typography, color theory, and a relevant degree or portfolio demonstrating your abilities. Mastery of design software such as Adobe Creative Suite (Photoshop, Illustrator, InDesign) and familiarity with digital asset management systems are typically required. Creativity, attention to detail, and effective communication are essential soft skills that help you interpret client needs and collaborate with teams. These skills are crucial for producing compelling, on-brand visuals that meet project objectives and support overall business goals.

What types of projects can a designer expect to work on at Nemo Design, and how does the team typically collaborate throughout the creative process?

At Nemo Design, designers often work on a diverse range of projects, from brand development and digital campaigns to product launches and experiential marketing. The team is highly collaborative, with designers working closely alongside strategists, copywriters, and project managers from concept to final execution. Regular brainstorming sessions, critiques, and cross-disciplinary teamwork are integral to the workflow, ensuring creativity and cohesion in every project. This environment not only fosters learning and growth but also encourages designers to take ownership of their ideas and contribute meaningfully to client solutions.

What is Nemo Design?

Nemo Design is a creative agency based in Portland, Oregon, specializing in brand strategy, design, and marketing for active lifestyle and sports brands. They provide services such as brand development, digital and print design, content creation, and experiential marketing. Nemo Design is known for its innovative approach and collaborative culture, working with clients like Nike, Converse, and other major brands. Their team consists of designers, strategists, and storytellers who help brands connect with their audiences in meaningful ways.

What is the difference between Nemo Design vs Graphic Designer?

AspectNemo DesignGraphic Designer
CredentialsPortfolio, relevant design experience, sometimes a degree in design or related fieldDegree in Graphic Design, Visual Arts, or related field; portfolio required
Work EnvironmentCreative agency, marketing firms, branding studiosDesign studios, advertising agencies, corporate in-house teams
Industry UsageUsed in branding, marketing, digital media projectsUsed across advertising, publishing, digital media, branding

Both Nemo Design and Graphic Designer roles require a strong portfolio and relevant design credentials. Nemo Design typically refers to a specific agency known for branding and marketing projects, while a Graphic Designer is a broader role found in various industries. The work environments overlap but may differ based on company size and focus. Understanding these differences helps clarify career paths and job expectations in the creative industry.

More about Nemo Design jobs
What cities are hiring for Nemo Design jobs? Cities with the most Nemo Design job openings:
What states have the most Nemo Design jobs? States with the most job openings for Nemo Design jobs include:
What job categories do people searching Nemo Design jobs look for? The top searched job categories for Nemo Design jobs are:
Nemo Design jobs near you
Infographic showing various Nemo Design job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $139,368 per year, or $67 per hour.

LLM Application Development Engineer

MASH Pro Tech

Santa Clara, CA

Other

Posted 2 days ago

Job description

AI Application Engineer - LLM Application Development
Santa Clara - 5 days Onsite
 
NVIDIA-Specific Stack
  • NVIDIA NIM — deployment, inference, API integration, model lifecycle · Advanced · Must-have
  • NeMo framework — model configuration, inference optimization · Proficient · Must-have
  • NeMoGuardrails — rails configuration, content safety models, jailbreak detection, topical control · Advanced · Must-have
  • NVIDIA Riva — ASR / TTS integration in application layer · Proficient · Must-have
  • NVIDIA NIM models — llama-3.1-nemoguard-8b, llama-3.2-nv-rerankqa-1b-v2, llama-3.2-nv-embedqa-1b-v2, nemotron-3-super-120b-a12b familiarity · Proficient · Nice to have

Duties:

  • Will work on the intelligence layer for multiple programs — owns all model quality, RAG accuracy, prompt engineering, and AI safety across applications 
  • Socratic tutor persona, adaptive learning recommendation engine, multi-modal AI (text and voice via NVIDIA Riva), RAG evaluation framework, and feedback loop into retrieval
  • 6-LLM call chain orchestration (NeMoGuardrails → intent classification → query rewriting → RAG → synthesis), Perplexity web search integration, NIM recommendation engine, and compatibility check logic
  • Production-grade AI quality from launch — this is not a research or prototyping role; accuracy thresholds, latency requirements, and safety guardrails must pass InfoSec adversarial testing before Release 1
Required Skills
LLM Application Development
  • LLM prompt engineering — system prompts, few-shot examples, chain-of-thought, instruction following · Expert · Must-have
  • Multi-step LLM chain orchestration — LangChain, LlamaIndex, or custom orchestration · Expert · Must-have
  • Multi-turn conversation design — context window management, conversation summarization, session memory · Advanced · Must-have
  • Streaming LLM response handling — token-by-token streaming, partial response rendering · Advanced · Must-have
  • Model selection and benchmarking — matching model size to task; balancing latency, cost, and accuracy · Advanced · Must-have
RAG Pipeline Design & Quality
  • RAG pipeline design — chunking strategy, embedding model selection, retrieval configuration · Expert · Must-have
  • Vector similarity search tuning — index parameters, similarity thresholds, retrieval depth · Advanced · Must-have
  • Reranking — cross-encoder rerankers, relevance scoring · Advanced · Must-have
  • RAG evaluation frameworks — RAGAS, TruLens, or equivalent; automated eval pipelines · Advanced · Must-have
  • Hybrid search — combining dense vector retrieval with BM25 or keyword search · Proficient · Nice to have
AI Safety & Guardrails
  • Prompt injection detection and mitigation · Advanced · Must-have
  • Jailbreak testing and red-teaming LLM systems · Advanced · Must-have
  • Content safety classifier integration · Advanced · Must-have
  • Hallucination detection and mitigation strategies · Advanced · Must-have
  • Topical control — enforcing scope boundaries on LLM responses · Advanced · Must-have
Evaluation & Production Quality
  • Automated evaluation pipeline design — test set curation, metric selection, regression detection · Advanced · Must-have
  • A/B evaluation methodology for prompt and model changes · Proficient · Must-have
  • Latency profiling for LLM call chains — identifying bottlenecks across multi-step pipelines · Proficient · Must-have
  • Feedback loop design — user signal collection, signal-to-retrieval-weight integration · Proficient · Must-have
  • Production model monitoring — accuracy drift detection, quality degradation alerting · Proficient · Must-have
Development
  • Python — ML/AI application development, async programming · Expert · Must-have
  • API design for AI services — streaming endpoints, error handling, timeout management · Advanced · Must-have
  • Embedding model operations — model selection, batch embedding, index updates · Advanced · Must-have
Nice to Have
  • Adaptive learning systems or personalization engine experience
  • Knowledge graph integration with RAG
  • Multi-agent orchestration patterns 
  • ServiceNow API integration
  • Prior experience building AI products on NVIDIA infrastructure
Experience
  • 11+ years of software engineering with at least 2 years focused on LLM application development in production — not research, not demos, not internal tools with 10 users
  • Has shipped an LLM-powered feature or product to production where real users depend on the accuracy and the engineer owns the quality metrics
  • Has owned an AI safety or guardrails implementation for a customer-facing product — not just added an off-the-shelf filter; designed and tested the safety layer
  • Has built RAG evaluation pipelines and used them to make go/no-go release decisions — accuracy gating is part of the workflow.
  • Has profiled and optimized a multi-step LLM call chain for latency
  • Has worked with NVIDIA NIM or NeMo in a real project (strongly 

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