Atomicwork is the AI Workforce platform for IT — agentic ITSM & ESM that lets enterprises deploy, govern, and scale AI Coworkers alongside their people. Backed by Peak XV.
About the role
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 they're looking for
- 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
More about this role
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...
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