Full-Time
Software Engineer
Radical AI
11-50 employees
AI-powered radiology workflow orchestration software
Compensation Overview
$210k - $265k/yr
New York, NY, USA
In Person
On-site 5 days a week at the NYC lab.
 Software Engineering |
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- 5–6+ years of production software engineering experience; strong enough to design, build, and ship end-to-end
- Fluency in Go and/or Python; additional stack experience (TypeScript, Rust) is welcome
- Deep comfort with distributed systems: timeouts, retries, idempotency, partial failure, dead-letter queues, safe rollback
- Experience with concurrent and asynchronous programming — event loops, cancellation semantics, bounded queues, task orchestration under failure
- Solid networking fundamentals (especially important for potential on-prem deployment contexts)
- Containerization and cloud deployment experience (Kubernetes, AWS); comfort debugging Linux systems
- High ownership: you find problems before they find users and raise the bar for quality
- Lab backend: experiment definitions, sample path-planning, long running durable task execution
- Data backend: database schemas, migrations, ETL pipelines, object storage + partition design
- Internal platforms: developer tooling, SDKs, shared services, service templates
- Observability and reliability: structured logs, metrics, tracing, production debugging (OpenTelemetry, Prometheus/Grafana)
- Hybrid infrastructure: cloud + on-prem, containerization, orchestration, infrastructure-as-code
- Agent capabilities and tooling: API integrations, code execution, scientific literature retrieval, workflow automation
- Scientific workflow orchestration: Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency
- Data pipelines for ingesting, transforming, and serving data to models and LLMs
- Experience with agentic systems or LLM workflows (tool-calling, context management, PydanticAI, LangChain)
- Experience with enterprise self-hosted storage solutions (Ceph/Rook, Longhorn, WEKA, VAST, TrueNAS)
- Ray framework experience
- Familiarity with MongoDB and gRPC
- CI/CD and DevSecOps experience (GitHub Actions, Gitlab Pipelines)
- Familiarity with embedded protocols (serial, I²C, Modbus), device virtualization, or microcontroller firmware
- Strong observability experience (Datadog, Prometheus, Grafana, ELK, distributed tracing)
- Frontend experience (TypeScript/Svelte/React) — real-time interfaces, state management, structured APIs
Radical AI builds AI-powered software that augments radiologists by fitting into existing clinical workflows. Its core product acts as a clinical workflow orchestrator that triages medical imaging studies (such as CT scans and X-rays) by automatically identifying findings that indicate critical conditions and prioritizing those cases in the radiologist’s worklist, so urgent cases are reviewed first. The company targets hospitals and imaging centers with a B2B licensing or subscription model for its AI tools. What sets Radical AI apart is its emphasis on workflow optimization and diagnostic prioritization grounded in medical imaging expertise from its Duke-affiliated founders, aiming to reduce clinician burnout and shorten the time to diagnosis. The overarching goal is to alleviate the growing gap between imaging demand and the available diagnostic workforce while improving patient outcomes through faster, more efficient readings.
Company Size
11-50
Company Stage
Seed
Total Funding
$55M
Headquarters
Israel
Founded
2024
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Simplify's Take
What believers are saying
- July 2025 funding and January 2026 Brooklyn expansion accelerate hiring and lab buildout.
- Governor Hochul’s January 27, 2026 announcement adds credibility and local support.
- Six-month claims of 1,200 alloys and 10 commercial candidates signal rapid experimentation throughput.
What critics are saying
- Radical AI abandoned radiology; that pivot signals weak product-market certainty.
- Autonomous labs need heavy capital and specialized hires; missing milestones destroy valuation by 2027.
- Periodic Labs and CuspAI compress the same discovery loop, leaving Radical AI commoditized.
What makes Radical AI unique
- Joseph Krause’s 2024 team runs New York’s first autonomous materials science lab.
- Brooklyn Navy Yard facility combines AI design, robotic synthesis, and characterization loops.
- RTX Ventures and NVIDIA-backed funding validates a physically integrated discovery platform.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Mental Health Support
Wellness Program
Unlimited Paid Time Off
Paid Holidays
401(k) Retirement Plan
Growth & Insights and Company News
6 month growth
↑ 4%1 year growth
↑ 10%2 year growth
↑ 57%Radical AI, a NYC-based company, has raised $55 million in Seed funding. The funding round included backers such as RTX Ventures, Nvidia, noa, Eni Next, Infinite, and Alleycorp. The company plans to use the funds to expand its operations and development efforts. Led by CEO Joseph F. Krause and Jorge Colindres, Radical AI is focused on creating autonomous labs for materials R&D to advance next-generation technologies.