Artificial Intelligence Engineer

🧬 We're hiring: AI Software Engineer — Austin, TX

At GeneSilico, we're building something that has never existed before: a Continuous Cancer Intelligence System. Our platform, gSage CancerOS, uses digital twin simulation to rank-order drugs by efficacy, backed by evidence — giving oncologists the predictive clarity and contextual memory they need at the moment of decision.

This is not a static biomarker report. This is not a literature summarizer. gSage CancerOS is a longitudinal therapeutic operating system — fusing genomics, pathology, radiology, and real-world outcomes into a single adaptive intelligence layer used by oncologists making life-or-death decisions every day.

We're looking for an entry-level AI Software Engineer to join us in Austin and help build the next generation of this platform.

📍 Austin, TX | Full-Time | Entry Level

What you'll work on:

→ AI features within gSage CancerOS, including our digital twin simulation engine

→ CaseBook — our longitudinal patient memory and clinical state architecture

→ LLM pipelines that synthesize multimodal oncology data (EHR, genomics, imaging, literature)

→ Backend integrations with EHR systems, NGS panels, and real-world evidence sources

→ Tooling to evaluate, monitor, and continuously recalibrate AI model performance

What we're looking for:

→ BS/MS in Computer Science, Engineering, or a related field

→ Solid Python skills and comfort with ML frameworks

→ Familiarity with LLMs, RAG pipelines, or vector search

→ Curiosity about biology, genomics, or clinical workflows

→ A collaborative mindset and the drive to grow fast

Our stack includes Python, MongoDB, Atlas, GitHub, LLMs/RAG, vector DBs, React/TypeScript, REST APIs, Docker, cloud (AWS/GCP), FHIR/EHR integrations, and NGS pipelines.

Why GeneSilico?

→ 300+ real patient datasets powering our models

→ 10 US patents pending

→ 740+ FDA-approved drugs mapped in our simulation engine

→ Partnerships with Karkinos (Reliance), Omega, and HCG

→ Publications in leading journals including Nature

If you want your first engineering role to genuinely matter — where your code helps guide cancer treatment decisions — we'd love to hear from you.

👉 Apply or tag someone who should: [APPLICATION LINK]

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