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Particle41

Provides expert application, DevOps, ML teams

AI Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related field.
  • At least 3 years of hands-on experience in AI/ML model development and deployment.
  • Strong programming skills in Python and experience with TensorFlow, PyTorch, scikit-learn, LangChain, and LangGraph.
  • Experience with vector databases such as Pinecone or FAISS, retrieval-augmented generation (RAG), and agentic workflows.
  • Experience building or fine-tuning large language models (LLMs).
  • Experience deploying models into production, building REST APIs and microservices, and monitoring deployed systems.
  • Familiarity with text-to-speech and speech-to-text models or solutions such as Deepgram, ElevenLabs, or Cartesia.
  • Experience in computer vision, time-series modeling such as ARIMA or Prophet, or multimodal AI.
  • Familiarity with MLOps tools and frameworks such as MLflow, Kubeflow, or SageMaker.
  • Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals, including classification, regression, clustering, deep learning, and sequence models.
  • Publications, open-source contributions, or personal projects in the AI/ML domain.

Responsibilities

  • Lead end-to-end AI/ML model development, from data ingestion and preprocessing through model training, evaluation, deployment, and monitoring.
  • Build generative AI solutions, including RAG, agentic workflows, MCP servers, and conversational AI agents, aligned with business goals.
  • Work with data engineering teams to build and maintain data pipelines, feature stores, and orchestration frameworks.
  • Develop and integrate AI models into production systems, including APIs, microservices, and cloud deployments.
  • Optimize models and solutions for performance, scalability, robustness, and cost-efficiency.
  • Monitor production model performance, including drift, bias, fairness, and reliability, and implement remediation.
  • Document model design, experiments, data provenance, and solution rationale.
  • Stay current with AI/ML research, frameworks, and tools, including LangChain, LangGraph, MCP clients and servers, agent SDKs, and LiveKit, and propose innovative ideas.
  • Work directly with clients to understand problem statements, translate business requirements into AI solutions, and communicate results clearly.

Desired Qualifications

  • Experience in computer vision, time-series modeling such as ARIMA or Prophet, or multimodal AI.
  • Familiarity with text-to-speech and speech-to-text models or solutions such as Deepgram, ElevenLabs, or Cartesia.
  • Publications, open-source contributions, or personal projects in the AI/ML domain.

About the Company

Particle41

Provides expert application, DevOps, ML teams

Particle41 builds expert teams across software development, DevOps, and machine learning to strengthen a client’s capabilities. It assembles cross-functional teams that integrate into client projects, guiding work with clear communication and predictable timelines to drive fast progress. The service emphasizes specialized, high-caliber teams that augment the client’s own capabilities with speed, transparency, and forward planning. Its goal is to amplify a client’s business by delivering dependable teams that advance critical development, operations, and ML initiatives.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Frisco, TX
Founded
2015

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