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Applied AI Senior Engineer
Job Location:
Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
26 May 2026 (30+ days ago)
Posted:
Application Deadline:
23 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Title: Applied AI Senior Engineer
Location: Austin TX/Sunnyvale CA (Onsite) Relocation Works
Duration: 12 Months
Video Interviews
Job Description
Must-Have Requirements
Requirement Details
Backend/Systems Experience
3 years building production backend or distributed systems (pre-AI experience required)
Production AI Systems
Has shipped AI/LLM features serving real users at scale - not just prototypes or demos
Agentic Systems
Has built AI agents skills tools or MCP (Model Context Protocol) integrations
Python
Proficient for backend development
Secondary Language
Working knowledge of Go TypeScript or Rust
Cloud Infrastructure
Deep experience with AWS/GCP/Azure - cost optimization compute decisions not just deployment
Container & Orchestration
Hands-on with Docker and Kubernetes - can build deploy debug and scale services themselves
LLM Integration
Understands token economics context limits rate limiting structured outputs API failure modes
LLM Evaluation
Understands how to evaluate LLM outputs and the inherent challenges (non-determinism quality measurement regression detection)
Hands-On Engineer
Not just an architect - writes code debugs production issues deploys their own work
Preferred / Differentiators
Built multi-step agentic workflows with tool use and function calling
Experience with agent orchestration frameworks (LangGraph CrewAI Claude Agent SDK Google ADK OpenAI ADK)
Built guardrails fallbacks or graceful degradation for AI systems
Streaming inference and async agent orchestration
Cost/latency optimization: caching batching prompt compression
ML observability tools: Langfuse Arize Braintrust W&B
Retrieval systems (vector search hybrid search) - as a tool not the focus
Location: Austin TX/Sunnyvale CA (Onsite) Relocation Works
Duration: 12 Months
Video Interviews
Job Description
Must-Have Requirements
Requirement Details
Backend/Systems Experience
3 years building production backend or distributed systems (pre-AI experience required)
Production AI Systems
Has shipped AI/LLM features serving real users at scale - not just prototypes or demos
Agentic Systems
Has built AI agents skills tools or MCP (Model Context Protocol) integrations
Python
Proficient for backend development
Secondary Language
Working knowledge of Go TypeScript or Rust
Cloud Infrastructure
Deep experience with AWS/GCP/Azure - cost optimization compute decisions not just deployment
Container & Orchestration
Hands-on with Docker and Kubernetes - can build deploy debug and scale services themselves
LLM Integration
Understands token economics context limits rate limiting structured outputs API failure modes
LLM Evaluation
Understands how to evaluate LLM outputs and the inherent challenges (non-determinism quality measurement regression detection)
Hands-On Engineer
Not just an architect - writes code debugs production issues deploys their own work
Preferred / Differentiators
Built multi-step agentic workflows with tool use and function calling
Experience with agent orchestration frameworks (LangGraph CrewAI Claude Agent SDK Google ADK OpenAI ADK)
Built guardrails fallbacks or graceful degradation for AI systems
Streaming inference and async agent orchestration
Cost/latency optimization: caching batching prompt compression
ML observability tools: Langfuse Arize Braintrust W&B
Retrieval systems (vector search hybrid search) - as a tool not the focus
