# Staff/Senior Software Engineer, Agent Engineering (Helios) at Unusual

> Onsite · United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/lever%3Aunusual%3A9dd5d490-5ccc-4ec5-aa9b-eda4cfd855af (read 2026-11-07).

## Facts (observed)

- Company: [Unusual](https://alderhq.app/companies/unusual)
- Location text: New York, New York
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York, New York")
- Posted: 2026-09-16 (52 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-03
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/unusual/9dd5d490-5ccc-4ec5-aa9b-eda4cfd855af

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 273): p25 $200k, median $234k, p75 $270k
- Licensed UK sponsor: registered as "Unusual Technologies Ltd" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

### Expected areas of expertise:

Production orchestration for stateful, long-running, and multi-agent workflows.

Tool and action infrastructure with strong contracts, permissions, and approval boundaries.

Retrieval, context engineering, evidence management, and persistent agent memory.

Model-runtime engineering across providers, latency profiles, and deployment environments.

Evaluation, tracing, security, and operational control of nondeterministic systems.

### KEY RESPONSIBILITIES

Own Proxi’s agent runtime and strengthen foundations for building new agent-driven products.

Build the systems that allow agents to own long-running work from assignment through completion. Agent activity should remain visible, steerable, and connected to the relevant project, people, evidence, deadlines, and deliverables in Action Rail.

Build the tool and action framework agents use to interact with internal systems and external services safely.

Connect agents to Proxi’s retrieval and knowledge systems so reasoning, memory, citations, and generated artifacts remain grounded in authoritative evidence.

Improve the evaluation and release discipline for agent behavior, traces and simulations to improve quality while controlling latency, cost, and risk.

### NICE TO HAVE

Experience deploying agent systems in government, defense, legal, healthcare, or other regulated environments.

Familiarity with policy and legal research where temporal accuracy, provenance, and citation precision are essential.

Experience operating self-hosted or multi-provider inference in restricted environments.

Experience building agents that create durable artifacts or perform permissioned actions on a user’s behalf.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Aunusual%3A9dd5d490-5ccc-4ec5-aa9b-eda4cfd855af and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.