REMOTE -Principal Software Developer- Agentic AI, Healthcare AI
TypeFull-time job
LocationUnited States
Posted7 hours ago
Responsibilities
Architect, design, develop, deploy, and operate production-grade AI systems powered by LLMs, agents, retrieval, and enterprise data.
Build agentic AI systems that leverage tool use, memory, planning, orchestration, and workflow automation to solve complex business problems.
Design and implement scalable RAG, search, retrieval, ranking, and knowledge systems across structured and unstructured data sources.
Develop LLM-powered applications, including prompt and context engineering, tool integrations, model routing, guardrails, and workflow orchestration.
Optimize AI systems for quality, latency, reliability, scalability, observability, and cost efficiency.
Establish evaluation frameworks, experimentation platforms, and feedback loops to continuously improve AI system performance and user outcomes.
Build and maintain cloud-native services, APIs, SDKs, and distributed systems that enable reliable development and operation of AI capabilities.
Design and support asynchronous communication patterns, event-driven architectures, and workflow orchestration using messaging and streaming technologies.
Partner closely with applied scientists, engineers, product managers, and domain experts to translate ambiguous requirements into scalable technical solutions.
Drive architecture decisions, mentor engineers, and raise engineering standards across the organization.
Originally posted on Himalayas
Architect, design, develop, deploy, and operate production-grade AI systems powered by LLMs, agents, retrieval, and enterprise data.
Build agentic AI systems that leverage tool use, memory, planning, orchestration, and workflow automation to solve complex business problems.
Design and implement scalable RAG, search, retrieval, ranking, and knowledge systems across structured and unstructured data sources.
Develop LLM-powered applications, including prompt and context engineering, tool integrations, model routing, guardrails, and workflow orchestration.
Optimize AI systems for quality, latency, reliability, scalability, observability, and cost efficiency.
Establish evaluation frameworks, experimentation platforms, and feedback loops to continuously improve AI system performance and user outcomes.
Build and maintain cloud-native services, APIs, SDKs, and distributed systems that enable reliable development and operation of AI capabilities.
Design and support asynchronous communication patterns, event-driven architectures, and workflow orchestration using messaging and streaming technologies.
Partner closely with applied scientists, engineers, product managers, and domain experts to translate ambiguous requirements into scalable technical solutions.
Drive architecture decisions, mentor engineers, and raise engineering standards across the organization.
Originally posted on Himalayas
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