Bytebeam
Website:
bytebeam.io
Company:
https://www.linkedin.com/company/bytebeam
Seniority: Mid-Senior level
Industries: Information Technology & Services
Job details:
About Bytebeam
Bytebeam builds connected-vehicle infrastructure and is developing a fleet-management application that brings live telemetry, diagnostics, alerts, actions, and operational data into one working system.
Role Overview
We are looking for a senior engineer to build reliable agentic workflows for fleet operations and internal engineering processes. This is not a prompt-only role. You will design software where models use well-defined tools, retrieve the right operational context, ask for approval when needed, and produce actions that can be evaluated, audited, and trusted.
What You'll Do
- Build agent-assisted workflows that help users investigate vehicle issues, understand fleet state, prepare reports, and complete repetitive operational tasks.
- Design typed tools and service interfaces over telemetry, alerts, actions, documentation, and fleet-domain data.
- Implement orchestration, state management, retrieval, guardrails, retries, and human-in-the-loop approval.
- Create offline and online evaluation suites covering task success, factuality, safety, latency, and cost.
- Instrument traces and feedback loops so failures can be reproduced and improved systematically.
- Defend workflows against prompt injection, over-broad permissions, unsafe tool use, and ambiguous user intent.
- Partner with backend, frontend, QA, product, and domain experts to move prototypes into dependable product experiences.
- Make practical decisions about when deterministic software is better than a model.
Must-Have Skills
- 5+ years of software engineering experience building production backend or full-stack systems.
- Strong proficiency in Rust or Go
- Experience integrating LLM APIs or building tool-using, retrieval-augmented, or workflow-oriented AI systems.
- Solid understanding of API design, databases, asynchronous work, testing, observability, and production reliability.
- Ability to design evaluation datasets and diagnose failures beyond subjective demos.
- Clear written communication and strong product judgment.
Good-to-Have
- Experience with fleet operations, IoT, telematics, customer support, or incident-investigation workflows.
- Familiarity with vector/search systems, structured generation, workflow engines, or model routing.
- Experience with permission models, audit logs, PII controls, red teaming, or AI security.
- Contributions to developer tools, AI infrastructure, or evaluation frameworks.
What Success Looks Like
- You ship a small set of high-value workflows that users repeatedly trust, with measurable task success, controlled permissions, predictable cost and latency, and a clear path from every production failure to an improved test.
Click on Apply to know more.
