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Tech Stack
Tools & technologiesCloudDockerKubernetesPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Rockstar Website LinkedIn All Job Openings 1 - 10 employees 🎯 Recruiter 👥 HR Tech 🤖 Artificial Intelligence Recruitment
- HR Tech
- Artificial Intelligence Rockstar is a full-service recruitment company that leverages a blend of human expertise and artificial intelligence to help businesses hire better and faster at a lower cost. They offer a comprehensive recruitment service for less than $1,500 per role by providing access to a large talent database, fast and efficient candidate reviews, and human screening. Their proprietary AI enables the review of thousands of applications to quickly match candidates to job descriptions, while custom screening calls are conducted by recruiters in the US, UK, or Australia. Rockstar supports hiring across a wide range of professional roles, including sales, marketing, strategy, product, business operations, analytics, data science, software development, infrastructure, finance, and accounting. This flexible approach allows companies to meet strong candidates without long-term commitments, making it a cost-effective solution for teams of all sizes. Senior AI Engineer Job not on LinkedIn 🔥 2 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Cloud Docker Kubernetes Python PyTorch Scikit-Learn Tensorflow Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- 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. 🎯 Requirements
- 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. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs AI Engineer 🔥 7 minutes ago decircle 1 - 10 Website LinkedIn All Job Openings Founding AI Engineer building core AI-driven portfolio monitoring systems for investment teams at Rengo AI. Designing solutions to detect anomalies and generate structured insights for institutional investors. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Python AI Engineer 🔥 29 minutes ago Socure 501 - 1000 🤖 Artificial Intelligence 🔐 Security 💸 Finance Website LinkedIn All Job Openings AI Engineer developing automated agentic workflows and systems at Socure to enhance digital trust solutions and operational efficiency. 🇺🇸 United States – Remote 💵 $200k - $250k / year 💰 $450M Series E on 2021-11 ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer 🦅 H1B Visa Sponsor Python AI Developer 🔥 9 hours ago Green Spoon Sales 201 - 500 🤝 B2B 🛒 Retail Website LinkedIn All Job Openings AI Developer designing and deploying AI-powered solutions across Green Spoon Sales. Bridging artificial intelligence capabilities with existing technology platforms in a fully remote role. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Cloud JavaScript Node.js Python React Technical Product Manager, AI Engineering – Systems 🔥 14 hours ago Jerry 201 - 500 💳 Fintech Website LinkedIn All Job Openings Technical Product Manager leading end-to-end development of AI platform and customer experiences at Jerry.ai, an innovative super app simplifying car ownership. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Senior Technical Product Manager, AI Engineering – Systems 🔥 14 hours ago Jerry 201 - 500 💳 Fintech Website LinkedIn All Job Openings Technical Product Manager driving AI platform and customer experiences at Jerry.ai. Leading development from the initial roadmap to global rollout in car ownership solutions. 🇺🇸 United States – Remote 💵 $160k - $200k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
machine learning engineeringAI engineeringdata science engineeringPythonPyTorchTensorFlowHugging Face Transformersscikit-learnprompt engineeringmodel evaluation
Soft Skills
communicationmentoringtechnical guidancecollaborationproblem-solving