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Particle41 via Greenhouse

AI Engineer

Level not stated United States
still open verified 1d ago posted 80d ago checked just now
Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 80d ago

The date the source published, not the day we noticed it (2026-06-26). Last seen at its source just now.

Is it remote?

USA - Remote

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

United States

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay $160k–225k/yr

Middle 50% of 2159 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

Computer VisionDeep LearningETLLLMLangChainMLOpsMicroservicesPyTorchPythonRAGRESTStatisticsTensorFlowscikit-learn

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

AI Engineer

Role Overview:

As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep-learning models/solutions (including generative-AI) that address complex business problems. You will collaborate with data scientists, data engineers, software engineers and client stakeholders. You will also build scalable pipelines, ensure production readiness, monitor performance and iterate proactively.

In This Role, You Will:

  • 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.

Skills and Experience We Value:

  • 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

About Particle41

Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )

E - Empowering: Enabling individuals to reach their full potential. L - Leadership: Taking initiative and guiding each other toward success. I - Innovation: Embracing creativity and new ideas to stay ahead. T - Teamwork: Collaborating with empathy to achieve common goals. E - Excellence: Striving for the highest quality in everything we do.

We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. 

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.

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