Staff Software Engineer, Applied AI
SuperDial EN
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In brief
SuperDial is hiring: Staff Software Engineer, Applied AI in the US.
Duties
- Backend for LLMs – Architect and implement scalable, low-latency APIs and services that wrap, orchestrate, and optimize LLMs for healthcare use cases.
- Data & Retrieval Pipelines – Build ingestion, preprocessing, and retrieval-augmented generation (RAG) pipelines to ground LLMs in clinical and…
- LLMOps & Observability – Design systems for model monitoring, evaluation, cost tracking, and guardrails, ensuring reliability and responsible use.
Required profile
- 5+ years of backend or full-stack software engineering experience, with 3+ years working on ML/LLM-enabled applications.
- Strong coding skills in Python (and ideally one statically typed language such as Go, Java, or TypeScript).
- Experience with LLM integration frameworks (Hugging Face, LangChain, LlamaIndex, OpenAI APIs, Anthropic, etc.).
- Deep knowledge of distributed systems, service-oriented architecture, and building APIs at scale.
Excerpt from the ad
SuperDial is seeking a Staff Software Engineer, Applied AI to build and scale the backend systems that power LLM applications in healthcare. This role is ideal for an engineer who thrives at the intersection of backend…
Source: ad by SuperDial, published on Careers pages (ATS). MakeYouFirst summarises this ad; the advertiser remains responsible for its content.
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