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Llm Prompt Engineer Jobs (NOW HIRING)

Fuku

Senior Prompt Engineering Engineer

San Francisco, CA · On-site

$123K - $169K/yr

What we're looking for - 4+ years of experience shipping ML/AI or applied NLP systems, with at least 1-2 years focused on LLM prompt or agent engineering. - Deep familiarity with Claude, GPT, Gemini ...

Team Red Dog

AI Prompt Engineer

Redmond, WA · Remote

... LLM and generative AI technologies. * Software Engineering & Troubleshooting - Strong programming and debugging skills with experience developing, testing, and supporting large-scale software systems ...

Team Red Dog

AI Prompt Engineer

Redmond, WA · On-site

... LLM and generative AI technologies. * Software Engineering & Troubleshooting - Strong programming and debugging skills with experience developing, testing, and supporting large-scale software systems ...

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$90K - $100K/yr

... of LLM, Prompt Engineering, RAG Architecture, Agentic AI. - Basic knowledge of Hybrid prompting technique - Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc. Good to ...

Tata Consultancy Service Limited

Engineer

Jersey City, NJ · On-site

$90K - $100K/yr

... of LLM, Prompt Engineering, RAG Architecture, Agentic AI. - Basic knowledge of Hybrid prompting technique - Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc. Good to ...

Tata Consultancy Service Limited

Gen AI Engineer

Irving, TX · On-site

$90K - $120K/yr

... of LLM, Prompt Engineering, RAG Architecture, Agentic AI. - Basic knowledge of Hybrid prompting technique - Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc. Good to ...

Tata Consultancy Service Limited

GEN AI Engineer

Irving, TX · On-site

$90K - $130K/yr

... of LLM, Prompt Engineering, RAG Architecture, Agentic AI. - Basic knowledge of Hybrid prompting technique - Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc. Good to ...

Tata Consultancy Services

GEN AI Engineer

Irving, TX · On-site

... of LLM, Prompt Engineering, RAG Architecture, Agentic AI • Basic knowledge of Hybrid prompting technique • Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.

Innova Solutions, Inc

AI prompt engineer

Charlotte, NC · On-site

$45 - $50/hr

A client of Innova Solutions is immediately hiring for a " AI prompt engineer" Position type ... Hands-on experience designing and testing prompts for LLM-based applications * Experience with AI ...

Tata Consultancy Services

Engineer

Irving, TX · On-site

... LLM, Prompt Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc. • ...

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Llm Prompt Engineer information

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How much do llm prompt engineer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for llm prompt engineer in the United States is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $71.15 per hour, depending on experience, location, and employer.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

Which LLM is good for prompt engineering?

For a prompt engineer, large language models like OpenAI's GPT-4, Anthropic's Claude, and Google's PaLM are popular choices due to their advanced capabilities and flexibility. Selecting an LLM depends on factors such as API accessibility, customization options, and the specific application requirements. Familiarity with prompt design and understanding model limitations are essential skills for effective prompt engineering.

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

How much do LLM engineers make?

LLM (Large Language Model) engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and NLP can command higher salaries, often exceeding $200,000. Compensation may also include bonuses and stock options in tech companies.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek to optimize AI language models for various applications. The role requires skills in natural language processing, prompt design, and familiarity with large language models, making it a valuable position in AI development teams.

What engineer makes $500,000 a year?

Senior AI engineers, including those working as prompt engineers or machine learning engineers, can earn $500,000 or more annually, especially with extensive experience, specialized skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at leading tech companies or startups focused on artificial intelligence and large language models.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer, and why are they important?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

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What cities are hiring for Llm Prompt Engineer jobs? Cities with the most Llm Prompt Engineer job openings:
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Llm Prompt Engineer jobs near you
Infographic showing various Llm Prompt Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $121,086 per year, or $58.2 per hour.
Senior Prompt Engineering Engineer

Senior Prompt Engineering Engineer

Fuku

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Medical, PTO

Re-posted 12 days ago

Job description

About Entbot
Entbot is building an autonomous operations copilot for enterprise teams. The company combines frontier LLMs with purpose-built retrieval, evaluation, and analytics pipelines, enabling GTM, ops, and support organizations to deploy AI workflows safely.
Role
Entbot is seeking a Senior Prompt Engineering Engineer who will own the full lifecycle of intelligent workflow design. This includes prompt research, automated evaluation, guardrail instrumentation, tool integration, and production rollout in collaboration with product and customer teams.
What you'll do
- Design, test, and ship multi-agent and multi-turn prompt strategies across core products such as ops copilot, auto-reply, research agents, and workflow builder.
- Build automatic evaluation harnesses, red-teaming suites, and telemetry dashboards to quantify quality, safety, and latency metrics for every release.
- Partner with product, solutions, and enterprise customers to translate ambiguous requirements into reliable AI behaviors, including tool/knowledge grounding strategies.
- Productionize prompt/tooling bundles as reusable components in the internal SDK; document best practices and mentor other engineers and designers.
- Track the frontier LLM/model ecosystem, benchmark new releases, and recommend adoption paths that balance capability, cost, and compliance.
What we're looking for
- 4+ years of experience shipping ML/AI or applied NLP systems, with at least 1-2 years focused on LLM prompt or agent engineering.
- Deep familiarity with Claude, GPT, Gemini, or open-source families, as well as evaluation stacks such as Ragas, DeepEval, LangSmith, Weights & Biases, etc.
- Strong software fundamentals in Python or TypeScript, plus experience orchestrating workflows via LangChain/LangGraph, LlamaIndex, custom eval harnesses, or similar tools.
- Comfort collaborating directly with customers, product, and go-to-market partners; excellent written documentation habits.
- A bias toward experimentation and measurable outcomes, with a default to instrumenting everything built.
Nice to have
- Experience deploying AI copilots into regulated industries, multilingual surfaces, or high-volume support funnels.
- Background in retrieval (vector databases), structured reasoning, toolformer-style call planning, or synthetic data pipelines.
- Contributions to open-source LLM tooling or published best-practice guides.
Why Entbot
- Early seat on a senior, product-minded team shipping into real Fortune 500 workflows.
- Competitive cash and equity, full healthcare, stipends for learning and gear, unlimited PTO with two yearly company shutdown weeks.
- Hybrid-friendly: HQ in San Francisco with remote flexibility across North America time zones.
How to apply
Send your LinkedIn or portfolio along with a short note about the hardest prompt/agent problem you've solved to yangkai31@gmail.com. Entbot will reply within 48 hours if it's a fit.
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About Fuku

Sourced by ZipRecruiter

Industry

Food services and drinking places

Company size

51 - 200 Employees

Headquarters location

New York, NY, US

Year founded

2015

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