Junior AI Engineer

Rockstar

Jr. AI Engineer assisting in AI features development for security analytics company.

Posted 5/20/2026full-timeRemote • 🇺🇸 United StatesJuniorWebsite

Tech Stack

Tools & technologies

DockerNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Assist in developing AI-powered features using Python, LLM tools, ML libraries, APIs, and internal platform services.
Support prompt engineering, prompt testing, model comparison, and evaluation of AI-generated outputs.
Help build and maintain RAG workflows, including document preparation, chunking, metadata tagging, embedding generation, retrieval testing, and result review.
Prepare, clean, format, and validate datasets used for model testing, prompt evaluation, and AI experiments.
Assist with model and workflow evaluation by reviewing outputs, identifying errors, documenting patterns, and comparing performance across approaches.
Write clean, readable Python code for scripts, internal tools, prototypes, experiments, and service components.
Support debugging of AI workflows, data pipelines, API integrations, and model behavior under the guidance of senior engineers.
Participate in code reviews, design discussions, team planning, and documentation efforts.
Learn and apply production engineering practices, including Git workflows, testing, logging, Docker, CI/CD, and deployment basics.
Document experiments, implementation details, findings, and recommendations clearly for technical team members.

Requirements

What you’ll need

0–2 years of experience in AI engineering, machine learning, software engineering, data science, or a related technical area.
Internship experience, academic work, bootcamp projects, portfolio projects, or open-source contributions are acceptable.
Solid Python programming skills.
Foundational understanding of machine learning, deep learning, NLP, data processing, and model evaluation concepts.
Familiarity with tools or libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, pandas, NumPy, or similar technologies.
Interest in LLMs, GenAI systems, prompt engineering, embeddings, semantic search, RAG, and AI agents.
Ability to work with structured and unstructured data.
Comfort using Git, notebooks, command-line tools, APIs, and collaborative development workflows.
Strong attention to detail, curiosity, problem-solving ability, and willingness to learn from feedback.
Clear written communication skills for documenting technical work and experiment results.

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. Junior AI Engineer Job not on LinkedIn 🔥 2 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟢 Junior 🤖 AI Engineer 🦅 H1B Visa Sponsor Docker Numpy Pandas Python PyTorch Scikit-Learn Tensorflow Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Assist in developing AI-powered features using Python, LLM tools, ML libraries, APIs, and internal platform services.
Support prompt engineering, prompt testing, model comparison, and evaluation of AI-generated outputs.
Help build and maintain RAG workflows, including document preparation, chunking, metadata tagging, embedding generation, retrieval testing, and result review.
Prepare, clean, format, and validate datasets used for model testing, prompt evaluation, and AI experiments.
Assist with model and workflow evaluation by reviewing outputs, identifying errors, documenting patterns, and comparing performance across approaches.
Write clean, readable Python code for scripts, internal tools, prototypes, experiments, and service components.
Support debugging of AI workflows, data pipelines, API integrations, and model behavior under the guidance of senior engineers.
Participate in code reviews, design discussions, team planning, and documentation efforts.
Learn and apply production engineering practices, including Git workflows, testing, logging, Docker, CI/CD, and deployment basics.
Document experiments, implementation details, findings, and recommendations clearly for technical team members. 🎯 Requirements
0–2 years of experience in AI engineering, machine learning, software engineering, data science, or a related technical area.
Internship experience, academic work, bootcamp projects, portfolio projects, or open-source contributions are acceptable.
Solid Python programming skills.
Foundational understanding of machine learning, deep learning, NLP, data processing, and model evaluation concepts.
Familiarity with tools or libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, pandas, NumPy, or similar technologies.
Interest in LLMs, GenAI systems, prompt engineering, embeddings, semantic search, RAG, and AI agents.
Ability to work with structured and unstructured data.
Comfort using Git, notebooks, command-line tools, APIs, and collaborative development workflows.
Strong attention to detail, curiosity, problem-solving ability, and willingness to learn from feedback.
Clear written communication skills for documenting technical work and experiment results. 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 🕒 6 days ago Cyclotron, Inc. 51 - 200 🏢 Enterprise ☁️ SaaS ⚡ Productivity Website LinkedIn All Job Openings AI Engineer at Cyclotron assisting in building and deploying AI-driven applications using Microsoft technologies. Collaborating with teams to deliver intelligent solutions and optimize data workflows. 🇺🇸 United States – Remote ⏰ Full Time 🟢 Junior 🟡 Mid-level 🤖 AI Engineer Azure Cloud Python .NET Junior AI Developer 🕒 May 5 BenGen 201 - 500 🤝 B2B ☁️ SaaS Website LinkedIn All Job Openings Junior AI Developer responsible for driving innovation in AI-centric projects at BenGen. Collaborating across teams and optimizing AI solutions for a global user base. 🇺🇸 United States – Remote ⏰ Full Time 🟢 Junior 🤖 AI Engineer Python PyTorch Tensorflow Junior AI Engineer 🕒 April 23 Optiveum 1 - 10 🎯 Recruiter 👥 HR Tech Website LinkedIn All Job Openings AI Engineer role focusing on integrating AI-generated code into production software and developing AI-assisted workflows. Join a US-based technology company's newly formed AI Lab working fully remote. 🇺🇸 United States – Remote 💵 $4k / month ⏰ Full Time 🟢 Junior 🤖 AI Engineer AWS Cloud Python React React Native .NET Applied AI Engineer 🕒 April 21 pulsESG 11 - 50 Website LinkedIn All Job Openings Applied AI Engineer at Pulsora building innovative AI-powered applications for sustainability. Focused on LLM systems and full-stack product ownership in a remote environment. 🇺🇸 United States – Remote 💵 CA$60k - CA$70k / year 💰 Venture Round on 2022-11 ⏰ Full Time 🟢 Junior 🟡 Mid-level 🤖 AI Engineer AI Engineer, Quality – Evals 🕒 April 21 Fieldguide 11 - 50 🤖 Artificial Intelligence 💸 Finance ☁️ SaaS Website LinkedIn All Job Openings AI Engineer developing evaluation platforms and pipelines for AI agents at fintech startup. Collaborating across teams to ensure reliable AI performance and product quality. 🇺🇸 United States – Remote 💵 $170k - $220k / year ⏰ Full Time 🟢 Junior 🤖 AI Engineer 🦅 H1B Visa Sponsor Postgres Python React TypeScript 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonmachine learningdeep learningnatural language processingdata processingmodel evaluationprompt engineeringembeddingssemantic searchRAG

Soft Skills

attention to detailcuriosityproblem-solvingwillingness to learnclear written communication