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Atomicwork

Applied AI Engineer

Reposted 24 Days Ago
Easy Apply
Remote
Hiring Remotely in United States
Mid level
Easy Apply
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. 

Top Skills

Ml Frameworks
Python
PyTorch
TensorFlow

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