Inflection AI
AI
SeniorBackendEngineer,Agentic
“Senior Backend Engineer, Agentic at Inflection AI. Skills: backend engineering, agentic AI systems, Python, Postgres, Redis, Cloud (AWS, GCP, Azure), Kubernetes, LLM application patterns. Design and build backend systems that power agentic workflows in production: orchestration, memory, retrieval, and tool integrations. Operate high-availability inference and conversation pipelines, optimizing for latency, cost, and quality”
What You'll Achieve.
enable rapid iteration, high reliability, and secure delivery of novel AI features to millions of users; directly impact both the pace of product development and the stability of our production systems; compound engineering velocity; measurable user impact; ensuring reliability and performance at scale
Industry & Context.
optimizing for latency, cost, and quality; work through decisions, emotions, and challenges
on-call ownership of customer-facing services with strict SLOs, Support of country-specific visa needs for international employees living in the Bay Area
What They're Looking For.
Must Have
10-15 years of backend engineering experience shipping production systems in cloud environments, Demonstrated experience building, shipping, and operating agentic AI systems in production environments with real user impact, production experience with Python, Postgres, Redis, and at least one major cloud (AWS, GCP, or Azure), including containers and Kubernetes, Practical experience with LLM application patterns: RAG, tool use, evaluation loops, and the latency/cost/quality tradeoffs that come with them, sense of ownership, with the ability to independently drive systems to production and operate them reliably
Nice to Have
Experience with agent orchestration frameworks (LangGraph, LlamaIndex, OpenAI/Anthropic Agent SDKs, or equivalent in-house systems), Experience with evaluation tooling (LangSmith, Braintrust, or similar), Background in streaming, queueing, or vector data infrastructure at scale, Past on-call ownership of customer-facing services with strict SLOs, Contributions to open-source agent or LLM tooling
What You'll Do.
Design and build backend systems that power agentic workflows in production: orchestration
and tool integrations
Operate high-availability inference and conversation pipelines
optimizing for latency
Build internal platform pieces service templates
and rollout tooling that compound engineering velocity
Drive features from prototype to production with measurable user impact
ensuring reliability and performance at scale
How You'll Work.
Team & Collaboration
Collaborate across research, product, and infrastructure teams; Partner with applied researchers and frontend engineers to design and iterate on user-facing features
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