TI
Listed on Tempo IO’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Tempo is seeking a Senior AI/ML Engineer to build production LLM and agent systems that detect anomalies, synthesize insights, and power enterprise decision-making workflows. This role sits within the product team—not a research lab—and suits someone with a proven track record shipping real LLM features and a strong point of view on reliable AI product engineering.
Our summary, not Tempo IO’s wording. The full posting is on their site.
Skills this role names
- Anomaly Detection
- CrewAI
- Kotlin
- LangChain
- LlamaIndex
- Model Context Protocol (MCP)
- Prompt Engineering
- Python
- Retrieval-Augmented Generation (RAG)
- Time Series Analysis
- TypeScript
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What they ask for
Required
- Shipped LLM-powered features to real users in production
- Hands-on experience orchestrating multi-step agents with tool use
- Deep expertise in prompt engineering, RAG, function calling, and context management
- Production-quality engineering with tests, code review, CI/CD, and observability
- Experience building or working with event-driven and streaming data systems
- 5+ years software engineering experience with 3+ years in production AI/ML
- Able to work embedded in a product team alongside domain engineers and product managers
Nice to have
- AWS Bedrock, Azure OpenAI, or GCP Vertex AI experience
- MCP or similar tool-use frameworks
- Anomaly detection, time-series analysis, or statistical signal processing experience
- Built confidence scoring or calibration systems for AI outputs
- Track record of inheriting and improving external partner architectures
- Proficiency in Kotlin or TypeScript alongside Python
- Monte Carlo simulation, optimization, or scheduling knowledge
- Portfolio management, project management, or resource planning background
- Enterprise SaaS experience with multi-tenancy and compliance
- Open-source AI/ML contributions
- Daily use of AI tools in your own work