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Remote Prompt Engineer - Evening Jobs (NOW HIRING)

Rockstar

Senior AI Engineer

$107K - $146K/yr

Our lean structure and remote team mean we can move fast while still delivering top-notch ... Fine-tune, adapt, and evaluate LLMs for domain-specific use cases using prompt engineering ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

Nebraska, Remote Categories: Information Technology Mutual Of Omaha is seeking an experienced ... Improve accuracy by employing systematic experimentation, prompt engineering, data and training ...

SolGenie

AI Lead (SAP Background Required)

Torrance, CA · On-site +1

$106K - $139K/yr

We have got a Remote contract opportunity for AI Lead with one of our clients. The detail of the ... This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven ...

AssetWorks

AI / ML Engineer

Wayne, PA · On-site +1

Lead the integration of LLMs via Azure OpenAI , focusing on prompt engineering, model parameter ... Flexible remote work arrangements Worker Type: Regular Number of Openings Available: 1

AssetWorks

AI / ML Engineer

Wayne, PA · On-site +1

Lead the integration of LLMs via Azure OpenAI , focusing on prompt engineering, model parameter ... Flexible remote work arrangements Worker Type: Regular Number of Openings Available: 1

Conexess Group

AI Principal Engineer (Remote)

... remote capacity. The Principal Engineer will be spearheading the development of a cutting-edge ... prompt engineering for specialized domains. • Strong software architecture skills focused on ...

Vacatia

Senior AI Agent & Evaluations Engineer

Portland, OR · On-site +1

$110K - $152K/yr

Portland, OR (Hybrid Three Days In Office) Remote considered for exceptional candidates. About ... If you're passionate about prompt engineering, agent reliability, and creating measurable AI ...

Vacatia

Senior AI Agent & Evaluations Engineer

Portland, OR · On-site +1

$111K - $152K/yr

Portland, OR (Hybrid - Three Days In Office) Remote considered for exceptional candidates. About ... If you're passionate about prompt engineering, agent reliability, and creating measurable AI ...

Vacatia

Senior AI Agent & Evaluations Engineer

Portland, OR · On-site +1

$110K - $152K/yr

Portland, OR (Hybrid - Three Days In Office) Remote considered for exceptional candidates. About ... If you're passionate about prompt engineering, agent reliability, and creating measurable AI ...

Performacentric

ML Engineer

Indianapolis, IN · On-site +1

Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About ... Develop prompt engineering, retrieval, and agentic workflows. * Fine-tune and evaluate LLM ...

Performacentric

ML Engineer

Dallas, TX · On-site +1

Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About ... Develop prompt engineering, retrieval, and agentic workflows. * Fine-tune and evaluate LLM ...

Performacentric

ML Engineer

Denver, CO · On-site +1

Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About ... Develop prompt engineering, retrieval, and agentic workflows. * Fine-tune and evaluate LLM ...

Conch Technologies Inc

AI ML Engineer

Lakeland, FL · Remote

Lakeland, FL, 33811 Remote Role * Local-First AI Expertise: Proven track record deploying and ... Solid understanding of fine-tuning techniques (LoRA/QLoRA) versus prompt engineering, and model ...

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How much do remote prompt engineer - evening jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for remote prompt engineer - evening in the United States is $47.09, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $60.82 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Remote Prompt Engineer - jobs? The most popular types of Remote Prompt Engineer - jobs are:
Remote Prompt Engineer Evening jobs near you
Senior AI Engineer

Senior AI Engineer

Rockstar

Remote

$107K - $146K/yr

Full-time

Posted 14 days ago

Job description

Rockstar is recruiting for a data intelligence platform that designs, builds, and deploys production-grade AI systems. They are a team of dynamic and savvy professionals who know how to create killer AI applications. Our lean structure and remote team mean we can move fast while still delivering top-notch technology and design.
Position Summary
The client is seeking a Sr. AI Engineer/Sr. Machine Learning Engineer to design, build, deploy, and maintain production-grade AI systems across their data intelligence platform. This role will lead the development of LLM-powered applications, agentic workflows, retrieval-augmented generation systems, model evaluation pipelines, and scalable AI services.
The ideal candidate combines strong machine learning expertise with practical production engineering experience. This person will own complex technical work from concept through deployment, mentor other engineers, and help define best practices for building reliable, observable, and secure AI systems.
Essential Responsibilities
  • Design, build, and deploy production GenAI systems, including LLM applications, agentic workflows, RAG pipelines, and AI-powered search capabilities.
  • Architect scalable AI services using modern ML frameworks, model-serving tools, APIs, Docker, Kubernetes, and CI/CD pipelines.
  • Develop and optimize retrieval systems using embeddings, vector databases, semantic search, reranking, and structured data sources.
  • Fine-tune, adapt, and evaluate LLMs for domain-specific use cases using prompt engineering, supervised fine-tuning, LoRA / QLoRA, or related methods.
  • Build automated evaluation frameworks to measure model quality, prompt performance, retrieval accuracy, reasoning reliability, latency, and cost.
  • Implement observability for AI systems, including tracing, logging, performance monitoring, drift detection, and output-quality review.
  • Translate prototypes and research concepts into reliable product features that can scale in production.
  • Partner with product managers, data engineers, backend engineers, analysts, and business stakeholders to define AI capabilities and technical tradeoffs.
  • Review architecture, provide technical guidance, mentor junior team members, and promote strong engineering practices.
  • Create clear technical documentation, implementation plans, runbooks, and model lifecycle documentation.

Required Qualifications
  • 5+ years of experience in machine learning engineering, AI engineering, data science engineering, or a related technical role.
  • 2+ years of experience building or shipping production GenAI, LLM, or AI-powered systems.
  • Advanced Python programming skills and experience building maintainable production software.
  • Hands-on experience with PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, or similar ML frameworks.
  • Experience with LLM applications, RAG systems, embeddings, vector databases, prompt engineering, and model evaluation.
  • Experience deploying AI / ML services using Docker, Kubernetes, CI/CD workflows, APIs, and cloud-native infrastructure.
  • Strong understanding of classical machine learning, deep learning, NLP, information retrieval, and model validation.
  • Ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
  • Experience mentoring engineers, reviewing technical designs, or leading complex AI engineering initiatives.

Preferred Qualifications
  • Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field.
  • Experience with agent frameworks such as LangGraph, AutoGen, CrewAI, or similar tools.
  • Experience with model-serving platforms such as vLLM, BentoML, Triton, Ray Serve, or similar systems.
  • Familiarity with ML observability, experiment tracking, model monitoring, and prompt/version management tools.
  • Experience with graph-based retrieval, knowledge graphs, multimodal models, large-scale data processing, or security-focused data products.
  • Experience with infrastructure-as-code, workflow orchestration, model routing, caching, batching, or quantization.

Special Skills or Experience Required
  • Proven experience building and deploying production GenAI systems, including LLM applications, agentic workflows, and RAG pipelines.
  • Advanced Python and ML framework experience, including PyTorch, TensorFlow, Hugging Face Transformers, or similar tools.
  • Experience with LLM fine-tuning, prompt engineering, embeddings, vector databases, semantic search, and model evaluation.
  • Strong production engineering skills, including Docker, Kubernetes, CI/CD, model serving, observability, latency optimization, and technical leadership.

Success Measures
Success in this role will be measured by the delivery of reliable AI capabilities, improved model quality, reduced latency and cost, stronger evaluation coverage, improved observability, and the successful mentorship of other engineers. The role should help increase the speed and confidence with which the company can move AI features from prototype to production.

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