Data Science & AI

AI Engineer Jobs - Page 19

695 open AI Engineer positions in Data Science & AI, newest first.

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Newest AI Engineer jobs

  • Twenty · Arlington, VA (On-site) · 23 days ago

    You’ll build and ship language-model-powered systems that strengthen Twenty’s mission-critical cyber capabilities for U.S. national security.

    • Full-time
    • Mid-level
    • 4+ years
    • PyTorch
    • LLM post-training (SFT/RLHF/DPO)
    • vector databases
  • Eloquent AI · San Francisco, CA (On-site) · 23 days ago

    As an AI Engineer at Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations.

    • Full-time
    • Mid-level
    • 3+ years
    • Python
    • PyTorch
    • TensorFlow
  • Eloquent AI · San Francisco, CA (On-site) · 23 days ago

    At Eloquent AI, we’re building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our…

    • Full-time
    • Mid-level
    • 1+ years
    • React
    • TypeScript
    • Node.js
  • Eloquent AI · San Francisco, CA (On-site) · 23 days ago

    As an AI Agent Engineer at Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations.

    • Senior
    • 3+ years
    • Python
    • PyTorch
    • TensorFlow
  • Eloquent AI · San Francisco, CA (On-site) · 23 days ago

    As a Senior Software Engineer, AIOps & Infrastructure at Eloquent AI, you will be responsible for designing, building, and optimizing scalable, high-performance AI infrastructure to…

    • Full-time
    • Senior
    • 5+ years
    • Kubernetes
    • Python
    • cloud infrastructure
  • Latent Labs · San Francisco, CA (Hybrid) · 23 days ago

    We are looking for a Forward Deployed AI Engineer to serve as the critical bridge between Latent Labs’ frontier generative models and the customers who rely on them.

    • Full-time
    • Senior
    • AWS
    • Docker
    • Kubernetes
  • AI Engineer - NYC

    $210k – $230k/yr

    Sequence · New York City, NY (On-site) · 23 days ago

    We care deeply about the quality of the product we're building.

    • Full-time
    • Mid-level
    • AI infrastructure
    • agentic workflows
    • LLM evals
  • Level · Austin, TX (On-site) · 23 days ago

    Ship production agentic systems- Design and build agents and agentic workflows that solve a defined problem end to end.

    • Full-time
    • Lead / Staff
    • 7+ years
    • LangGraph
    • Python
    • AWS
  • Level · Austin, TX (On-site) · 23 days ago

    Location: Onsite 5 days a week in Austin, TX, relocation is offered.

    • Full-time
    • Director
    • 7+ years
    • Python
    • agentic systems (LangGraph, Anthropic SDK, OpenAI Agents SDK, CrewAI)
    • retrieval systems (embeddings, hybrid search, re-ranking)
  • AI Engineer

    $180k – $300k/yr

    Gamma · San Francisco, CA (On-site) · 23 days ago

    You'll own the core AI systems that power Gamma: the models, prompts, and pipelines behind text, image, and layout generation.

    • Full-time
    • Senior
    • TypeScript
    • Python
    • prompt engineering
  • Valthos · New York City, NY (On-site) · 23 days ago

    Contribute to crafting and executing on the Valthos-wide research and development roadmap

    • Full-time
    • Mid-level
    • data-centric ML model development and evaluation
    • PyTorch
    • cloud computing platforms (AWS) and distributed systems
  • Edra · New York, NY (On-site) · 23 days ago

    We're building a learning system that teaches AI agents how enterprises actually work.

    • Full-time
    • Senior
    • 3+ years
    • LLM-based systems
    • multi-agent systems
    • production AI deployment
  • Luminai · San Francisco, CA (On-site) · 23 days ago

    Healthcare operations have always depended on people to bridge the gaps that technology couldn't. It relies on complex manual work to carry out critical internal processes, yet most health…

    • Full-time
    • Mid-level
    • machine learning model training
    • model fine-tuning
    • evaluation frameworks
  • SafetyKit · San Francisco, CA (On-site) · 23 days ago

    We’re inventing the future of B2B SaaS with AI agents.

    • Full-time
    • Mid-level
    • language model applications
    • AI agent workflow design
    • experiment design for model evaluation
  • Fieldguide · San Francisco, CA (Hybrid) · 23 days ago

    Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically…

    • Full-time
    • Senior
    • TypeScript
    • React
    • Python
  • DOSS · San Francisco, CA · 23 days ago

    Every ERP claims to be "AI-powered."

  • Kaizen · New York, NY (On-site) · 23 days ago

    Government technology has failed citizens, public servants, and service members for decades.

    • Full-time
    • Mid-level
    • 2+ years
    • SQL
    • data modeling
    • AI tools
  • Sanity · Remote in the United States | San Francisco B… · 23 days ago

    At Sanity, we're building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business…

    • Full-time
    • Senior
    • TypeScript
    • React
    • Node.js
  • Slash Financial · San Francisco, CA (On-site) · 23 days ago

    Slash is building an AI-native financial platform, and we're forming Slash AI Labs, a small, high-leverage team responsible for bringing AI deeply into every surface of the product.

    • Full-time
    • Senior
    • TypeScript
    • React
    • Node.js

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Common questions

What distinguishes Data Science & AI AI Engineer positions?

These positions sit within AI labs, data platforms, and analytics organizations developing predictive models, neural networks, and scalable pipelines.

What qualifications are required for AI Engineer roles in this sector?

Core skills include Python/R, SQL, deep learning frameworks (PyTorch, TensorFlow), cloud data warehouses (Snowflake, BigQuery), and MLOps tools.

Where do these positions come from?

From employers' public career sites. Each listing links to the employer's own application page.