AI Engineer

Particle41

AI Engineer at Particle41 leading development of machine and deep learning models. Collaborate with teams to deploy scalable AI solutions.

Posted 6/26/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $800,000 - $2,000,000 per yearWebsite

Tech Stack

Tools & technologies

CloudMicroservicesPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring.
Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals.
Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks.
Develop and integrate AI models into production systems (APIs, microservices, cloud deployments).
Optimize models/solutions for performance, scalability, robustness and cost-efficiency.
Monitor models/ solutions’ performance in production (drift, bias, fairness, reliability) and implement remediation.
Document model design, experiments, data provenance and solution rationale.
Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas.
Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
3+ years of hands-on experience in AI/ML model development and deployment.
Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph).
Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows.
Experience building or fine-tuning Large Language Models (LLMs).
Experience deploying models into production: building REST APIs, microservices and monitoring.
Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia etc.
Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI.
Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification, regression, clustering, deep learning, sequence models).
Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
Publications, open-source contributions, or personal projects in the AI/ML domain

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Particle41 Website LinkedIn All Job Openings 51 - 200 employees ☁️ SaaS 🤖 Artificial Intelligence 🏢 Enterprise SaaS
Artificial Intelligence
Enterprise Particle41 is a company that specializes in providing expertise and solutions in technology development, data science, and DevOps. They offer CTO advisory services, acting as a partner to strengthen tech strategies and deliver robust software solutions tailored to their clients' needs. Particle41 emphasizes modernizing operations using cloud architecture, integrating software systems, and leveraging artificial intelligence to provide innovative digital products. They work closely with businesses to ensure on-time project delivery, scalability, and maintaining data security. Particle41 is particularly focused on helping businesses improve their competitive edge through strategic tech solutions and ongoing support. AI Engineer Job not on LinkedIn 🔥 0 minutes ago 🇺🇸 United States – Remote 💵 $800k - $2M / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Cloud Microservices Python PyTorch Scikit-Learn Tensorflow Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring.
Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals.
Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks.
Develop and integrate AI models into production systems (APIs, microservices, cloud deployments).
Optimize models/solutions for performance, scalability, robustness and cost-efficiency.
Monitor models/ solutions’ performance in production (drift, bias, fairness, reliability) and implement remediation.
Document model design, experiments, data provenance and solution rationale.
Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas.
Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results. 🎯 Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
3+ years of hands-on experience in AI/ML model development and deployment.
Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph).
Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows.
Experience building or fine-tuning Large Language Models (LLMs).
Experience deploying models into production: building REST APIs, microservices and monitoring.
Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia etc.
Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI.
Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification, regression, clustering, deep learning, sequence models).
Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
Publications, open-source contributions, or personal projects in the AI/ML domain 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 Research Engineer, AI Models 🔥 2 hours ago EnCharge AI 11 - 50 🤖 Artificial Intelligence 🔧 Hardware 🤝 B2B Website LinkedIn All Job Openings Research Engineer pushing AI model quality and efficiency at EnCharge AI. Building fine-tuning pipelines and benchmarking frameworks while collaborating closely with hardware teams. 🇺🇸 United States – Remote 💰 $100M Series B - EnCharge AI on 2025-02 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Python PyTorch Manager, AI Engineer 🔥 6 hours ago CVS Health 10,000+ employees ⚕️ Healthcare Insurance 🛒 Retail 🧘 Wellness Website LinkedIn All Job Openings Manager, AI Engineer responsible for driving the adoption of Anthropic Claude platform. Collaborating with teams to design AI integrations and optimize workflows. 🇺🇸 United States – Remote 💵 $83.4k - $203.9k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer JavaScript Python AI Developer 🔥 7 hours ago Green Spoon Sales 201 - 500 🤝 B2B 🛒 Retail Website LinkedIn All Job Openings AI Developer responsible for deploying AI solutions at Green Spoon Sales. Collaborating with teams to drive operational efficiency and smarter workflows across technology platforms. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Cloud JavaScript Node.js Python React Senior Staff AI Architect 🔥 10 hours ago Thermo Fisher Scientific 10,000+ employees 🧬 Biotechnology 💊 Pharmaceuticals 🔬 Science Website LinkedIn All Job Openings AI & Data Architect responsible for defining and governing AI and data ecosystem strategies. Join Thermo Fisher Scientific in enabling a healthier, cleaner, and safer world through innovative solutions. 🇺🇸 United States – Remote 💵 $143k - $185k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud ERP Microservices RPA Artificial Intelligence/Machine Learning Engineer 🔥 12 hours ago Derex Technologies Inc 51 - 200 🏢 Enterprise ☁️ SaaS Website LinkedIn All Job Openings AI Engineer designing and maintaining ML tooling for RISE program in data migration. Responsible for anomaly detection pipelines and documentation in regulated environments. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer 🦅 H1B Visa Sponsor Azure Cloud Oracle SQL 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

AI/ML model developmentdata ingestiondata preprocessingmodel trainingmodel evaluationmodel deploymentmodel monitoringPythonTensorFlowPyTorch

Soft Skills

communicationproblem-solvingadaptabilitycollaborationdocumentation

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in EngineeringMaster’s degree in EngineeringBachelor’s degree in Data ScienceMaster’s degree in Data Science