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AI Engineer
Build the AI agents at the core of Orus: LLM pipelines, tool-calling, and operational patterns that work reliably in mission-critical enterprise systems.
What you'll own
- Develop complex, multi-step agentic pipelines around open- and closed-source LLMs
- Build tools that let AI agents interact reliably with critical enterprise software platforms
- Create data generation and processing pipelines to train and fine-tune custom ML models
- Implement and manage training and evaluation pipelines for LLMs
- Manage AI infrastructure across cloud platforms (AWS, Azure, or GCP)
- Deploy inference endpoints and serve AI/LLM technologies as core product infrastructure
- Ensure AI designs align with business objectives, not just technical elegance
What you need
- 5+ years of experience in software engineering, platform engineering, or related roles
- Proven expertise in AI model building and agent development
- Strong background in ML and LLM-driven systems development
- Experience with compound AI systems, vector databases, and tool-calling AIs
- Excellent problem-solving skills, comfortable in a fast-paced, high-ownership environment
Nice to have
- Experience building and deploying production-grade, large-scale AI applications
- Familiarity with AI deployment, evaluation, and monitoring practices
- Strong communication skills, able to explain complex technical concepts to non-technical stakeholders
Apply by email
If this sounds like you, email michele@useorus.ai