Applied AI Engineer
Atomicwork Inc10 months ago
USA (city not specified)Mid Level / Senior
Responsibilities
- Design, build, and fine-tune transformer-based and retrieval-augmented models.
- Develop AI components for automated knowledge search and conversational assistants.
- Integrate AI systems with production data pipelines securely.
- Build evaluation pipelines and establish performance benchmarks for AI features.
- Collaborate with engineering, data, and product teams for model productization.
- Participate in code reviews and cross-team problem solving.
- Take end-to-end ownership of features from definition to deployment.
Requirements
- Strong programming experience in Python and familiarity with ML/AI frameworks like PyTorch or TensorFlow.
- Hands-on experience with transformer-based models and retrieval augmentation.
- Experience building or integrating semantic search or multi-agent workflows.
- Demonstrated ability to build reliable ML/AI systems in production.
- Understanding of scalable backend systems and cloud infrastructure.
- Good software engineering practices including clean code and version control.
- Curious mindset and willingness to learn new technologies quickly.
- No specific degrees required; practical skills and ownership are prioritized.
About Atomicwork Inc
Atomicwork builds an AI-driven service management platform for enterprise IT teams, combining AI agents and automation to streamline support and operations. Delivered as SaaS, it covers ITSM/ESM workflows, knowledge management, and business process automation through a unified interface and integrations. Founded in 2022 and headquartered in Palo Alto, the privately held company targets growing businesses seeking to modernize digital workplace support.