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  • Deep Learning Scientist Intern, LLM, Multimodal and Agentic AI - Summer 2027

    NVIDIA USA

    CA

    Background with large-scale model training, distributed frameworks such as NeMo or Megatron-LM, GPU computing, or inference technologies such as vLLM or TensorRT-LLM.

  • AI Optimization Content Strategist

    Apple

    Sunnyvale, CA

    …formats, and platforms of focus to drive measurable growth in LLM…

  • Lead Agentic AI Offensive Security Engineer

    Hewlett Packard Enterprise

    Spring, TX · San Jose, CA · Durham, NC · Andover, MA · Fort Collins, CO · Frisco, TX

    …open-weight inference, or frameworks such as OWASP Top 10 for LLM Applications, MITRE ATLAS, MITRE ATT&CK, and NIST AI RMF is…

  • Principal Agentic AI Security Engineer

    Hewlett Packard Enterprise

    Spring, TX · San Jose, CA · Frisco, TX · Ft. Collins, CO · Alpharetta, GA · Durham, NC

    Hands-on experience developing LLM-powered or agentic systems strongly preferred.

  • Lead Platform Engineer, AI and DevSecOps

    RadarFirst

    Remote, United States

    …governance, secure agent/tool access, observability, continuous LLM and agent evaluations, traceability, incident response, cost controls, and operational readiness for future agent…

  • Microsoft 365 Copilot AI Co-op (Spring 2027)

    Wave Life Sciences USA, Inc.

    Lexington, MA

    Curiosity for LLM/agent design, prompt engineering, and the Power Platform; willingness to learn Copilot Studio quickly.

  • IT Cybersecurity Co-op (Spring 2027)

    Wave Life Sciences USA, Inc.

    Lexington, MA

    Contribute to cyber-AI risk assessments, focusing on the security and governance of open-source machine learning tools and large language model (LLM) integrations.

  • Discovery IT Co-op (Spring 2027)

    Wave Life Sciences USA, Inc.

    Cambridge, MA

    Working knowledge of technologies such as Posit, Copilot (and/or other LLM based AI systems), Claude, AI in general preferred

  • Senior Product Manager

    Payroll Integrations Inc

    NY · Carlsbad, CA · Marietta, GA

    …clients, partners, and engineering. You do not need to be a developer. Our engineering team is deeply technical. You do need strong opinions, comfort on client and partner calls, and the…

  • Software Engineering Senior Manager

    Wells Fargo Bank, N. A.

    CHARLOTTE, NC · SAN LEANDRO, CA

    Lead development of AI- and LLM-based solutions that interpret user activity, behavioral signals, interaction sequences, and telemetry to identify suspicious or emerging behaviors.

  • Principal Engineer

    B10 Wells Fargo Bank, N. A.

    CHANDLER, AZ · IRVING, TX

    1+ year of experience with LLM-based systems, prompt engineering, or RAG architectures

  • Quality Engineer, AI & Test Automation

    Baylor Scott & White Health

    Jackson, MS

  • Senior Data Scientist, AI

    Baylor Scott & White Health

    Jackson, MS

    · The role develops predictive and statistical models, LLM- and agent-based capabilities, analytical frameworks, evaluation approaches, outcome measures, and reusable AI/data science assets…

  • AI - Cybersecurity Forward Deployed Engineer - FDE Senior Manager

    Accenture

    Nashville, TN

    • $132,500 to $366,300 USD / year

    …deployments across complex multi-stakeholder client environments - LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure - owning the full security design from…

  • Senior Platform Software Engineer, AI

    Oracle

    Nashville, TN

    • $92,500 to $209,500 USD / year

    Oracle Cloud Infrastructure’s (OCI) Developer Platform Tools and Services organization builds the next generation of developer productivity platforms, intelligent development workflows, and…

  • TPM, Fwd Deployed Engineer, Business Innovation and AI

    Amazon

    Nashville, TN

    Build with the current AI tooling yourself, including agentic harnesses (Claude Code, Kiro, Codex), LLM application frameworks, and RAG, and take prototypes to production

  • Cybersecurity AI Forward Deployed Engineer - FDE - Manager

    Accenture

    Nashville, TN

    • $94,400 to $316,300 USD / year

    …deployments across complex multi-stakeholder client environments - LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure - owning the full security design from…

  • Principal AI Specialist

    Motorola Solutions, Inc.

    Waltham, MA

    …transcription and case file management, and chat-based interfaces and LLM-enhanced user experiences. You will work with infrastructure engineers and research scientists to build machine…

  • Founding Product Lead

    Hanover Park

    New York City, NY

    Fluency with core LLM concepts and systems, such as prompting, fine-tuning, embeddings, retrieval, and evaluation, and the judgment to translate these into reliable, user-facing products.

  • Forward Deployed Engineer

    Elixirr Consulting

    United States

    5+ years as a software engineer shipping working systems; recent hands-on experience building LLM-powered or agentic applications.

  • Full Stack Engineer Intern

    Klatch AI

    Remote, United States

    …tailored to fuel innovation across Computer Vision, ML, and NLP LLM applications. We are seeking Interns for our AI Data Annotation Services team. This is a remote internship and is open to…

  • B2B Business Development Intern

    Klatch AI

    Remote, United States

    …tailored to fuel innovation across Computer Vision, ML, and NLP LLM applications. We are seeking Interns for our AI Data Annotation Services team. This is a remote internship and is open to…

  • AI Data Annotation Intern

    Klatch AI

    Remote, United States

    …tailored to fuel innovation across Computer Vision, ML, and NLP LLM applications. We are seeking Interns for our AI Data Annotation Services team. We work with Interns from all academic…

  • Founding Engineer, Full-stack - Foam.ai

    Outbound

    San Francisco, CA

    • $150,000 to $220,000 USD / year
  • Director of Learning

    Untamed Intelligence

    Remote, United States

    • $165,000 to $195,000 USD / year

    …prototype ideas yourself and test them with synthetic learners, LLM-as-judge, human review, and real learners - understanding what each method can and cannot tell…