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Large Language Model Llm Prompt Engineer Jobs (NOW HIRING)

Familiarity with prompt engineering and large language model (LLM) behavior is a major plus. * Experience working with analytics tools (e.g., Excel, SQL, BI dashboards). * Excellent communication and ...

Staff Software Engineer

New York, NY ยท On-site

$150K - $180K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering ...

Staff Software Engineer

Hoboken, NJ ยท On-site

$150K - $165K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering ...

Staff Software Engineer

Hoboken, NJ ยท On-site

$150K - $180K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering ...

Familiarity with prompt engineering and large language model (LLM) behavior is a major plus. * Experience working with analytics tools (e.g., Excel, SQL, BI dashboards). * Excellent communication and ...

... deploying Large Language Model (LLM) and Small Language Model (SLM) solutions that power the ... prompt engineering, APIs, and cloud or on-premises platforms. * Strong understanding of model ...

Systems Architect

Las Vegas, NV ยท On-site

$232K/yr

... Large Language Models LLM Prompt Engineering FastAPI Java Python App Engine CI CD Pipelines Deployment Automation API Security API Key Management Secrets Management Token Management AI Agent Testing ...

... large language models in production * Demonstrated experience designing and optimizing prompts for LLM-powered products or features -- with measurable improvements in output quality, accuracy, or ...

Prompt Engineer Key Responsibilities: - Design, test, and iterate high-quality prompts for LLM ... LLMs and model behavior (including understanding of limitations and common failure modes ...

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Large Language Model Llm Prompt Engineer information

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How much do large language model llm prompt engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for large language model llm prompt engineer in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.

What are popular job titles related to Large Language Model Llm Prompt Engineer jobs?

For Large Language Model Llm Prompt Engineer jobs, the most frequently searched job titles are:

LLM/Prompt-Context Engineer - Fullstack Python (AI Agents, LangGraph, Context Engineering)

Atlanta, GA โ€ข On-site

Diversity Nexus
Recruiting and Staffing Servicesย โ€ขย 201 - 500 employees

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Diversity Nexus is seeking a highly skilled LLM/Prompt-Context Engineer with a strong fullstack Python background. The role involves designing, developing, and integrating intelligent systems focused on large language models, prompt engineering, and advanced context management.
Responsibilities:
โ€ข Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases.
โ€ข Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization, to enhance agent performance.
โ€ข Integrate, fine-tune, and orchestrate LLMs within Python-based applications, leveraging APIs and custom pipelines for scalable deployment.
โ€ข Build and manage complex conversational and agent workflows using the LangGraph framework to support multi-agent or multi-step solutions.
โ€ข Develop robust backend services, APIs, and (optionally) front-end interfaces to enable end-to-end AI-powered applications.
โ€ข Work closely with product, data science, and engineering teams to define requirements, run prompt experiments, and iterate quickly on solutions.
โ€ข Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness and context handling.
Qualifications:
Required:
โ€ข Deep experience with full stack Python development (FastAPI, Flask, Django; SQL/NoSQL databases).
โ€ข Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs).
โ€ข Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies.
โ€ข Hands-on experience integrating AI agents and LLMs into production systems.
โ€ข Proficient with conversational flow frameworks such as LangGraph.
โ€ข Familiarity with cloud infrastructure, containerization (Docker), and CI/CD practices.
โ€ข Exceptional analytical, problem-solving, and communication skills.
Preferred:
โ€ข Experience evaluating and fine-tuning LLMs or working with RAG architectures.
โ€ข Background in information retrieval, search, or knowledge management systems.
โ€ข Contributions to open-source LLM, agent, or prompt engineering projects.
Company:
Diversity Nexus provides workforce inclusion staffing, payrolling, and supplier diversity solutions for large enterprises. Founded in , the company is headquartered in Princeton, USA, with a team of 201-500 employees. The company is currently Growth Stage.