Atomicwork Logo

Atomicwork

Applied AI Engineer

Reposted Yesterday
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Design, build, and evaluate AI systems, focusing on natural language understanding and automation. Collaborate with teams to ensure production quality and performance metrics.
The summary above was generated by AI

We’re looking for an Applied AI Engineer to join our Engineering team to design, build, evaluate, and deploy intelligent AI systems that power enterprise workflows, autonomous assistants, and machine-assisted task automation. This role is based out of our US office and comes with competitive pay and practical benefits for you and your family.

We’re looking for strong problem solvers who’ve shipped impactful AI-driven functionality before and can scale our platform intelligence with quality and ownership. 
         What you'll do — responsibilities

  • Design, build, and fine-tune transformer-based and retrieval-augmented models for natural language understanding, intent classification, summarization, and context-aware reasoning. 
  • Develop AI components that power automated knowledge search, semantic retrieval, agentic task orchestration, and conversational assistants. 
  • Integrate AI systems with production data pipelines in a scalable and secure way. 
  • Build evaluation pipelines, define metrics, and establish performance and reliability benchmarks for AI features. 
  • Collaborate with engineering, data, and product teams to productize models with observability, monitoring, and continuous improvement. 
  • Participate in code reviews, architecture discussions, and cross-team problem solving. 
  • Take end-to-end ownership of features — from problem definition to deployment and performance monitoring. 
    What we’re looking for (qualifications)  
  • Strong programming experience in Python and familiarity with ML/AI frameworks like PyTorch or TensorFlow. 
  • Hands-on experience with transformer-based models (LLMs), embeddings, vector search, and retrieval augmentation. 
  • Experience building or integrating semantic search, RAG, or multi-agent workflows. 
  • Demonstrated ability to build reliable ML/AI systems in production environments. 
  • Understanding of scalable backend systems, cloud infrastructure, and model serving techniques. 
  • Good software engineering practices: clean code, testing, version control (Git), and collaboration. 
  • Curious mindset, product empathy, and willingness to learn new technologies quickly. 
  • We don’t require specific degrees — practical skills, curiosity, and ownership matter most. 

Why we are different (culture) 
As part of Atomicwork, you can shape our company and business from idea to production. Our cultural values set the bar high and help us create a better workplace for everyone. 
 

Agency: Be self-directed and take initiative. 

Taste: Hold a high bar — sweat the details and build with care. 

Ownership: Take full responsibility for wins and setbacks. 

Mastery: Commit to continuous learning and improvement. 

Impatience: Move with urgency towards outcomes. 

Customer Obsession: Put customer value at the heart of every decision. 

Important notice for candidates:

Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles at Atomicwork.

  • Only apply through official Atomicwork channels. We do not use third-party agencies or individuals who ask for payments in exchange for interviews or offer letters.
  • Always double-check the emails you receive. Make sure all communication is being done through official Atomicwork email addresses. (@atomicwork)
  • Atomicwork will never ask for payment or personal financial information during the hiring process. If anyone asks you for money or financial details claiming to represent Atomicwork, please treat it as a scam and report it immediately.

By submitting your application, you confirm that all information provided by you is accurate and complete to the best of your knowledge. Any false or misleading information may result in disqualification from the hiring process or withdrawal of an offer. Your personal data will be processed in accordance with Atomicwork’s privacy and recruitment policies.

HQ

Atomicwork San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

9 Days Ago
In-Office or Remote
7 Locations
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead architecture and technical strategy for AI-driven product quality systems using LLMs and agents. Build scalable evaluation frameworks, detect regressions, generate insights, and drive cross-functional adoption while mentoring engineers and defining standards for trustworthy AI.
Top Skills: AgentsAi InfrastructureEvaluation SystemsLlmsRetrieval Architectures
Yesterday
Remote
USA
Entry level
Entry level
Artificial Intelligence • Information Technology • Software
Design and build AI assistants for interactive 3D workflows: build NLP pipelines, integrate cloud and client LLMs, design knowledge graphs, fine-tune foundation models, prototype AI features, and improve personalization and system performance.
Top Skills: Agentic BackendsCloudContainerizationIacKnowledge GraphsLangchainLlmsNeo4JProperty GraphsPythonPyTorchRdfTensorFlowTransformersVector Databases
2 Days Ago
Remote
United States
Mid level
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Generative AI
Build and ship LLM- and agent-powered product experiences for North, designing interfaces, evals, observability, and feedback loops to improve reliability and user outcomes. Collaborate with modelling, product, design, and customers to turn failures and feedback into measurable product and model improvements.
Top Skills: Agent BuildersAi AgentsBackend SystemsEvaluation FrameworksFrontend Product DevelopmentLlmsObservability/MonitoringPrompt Engineering

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account