Applied AI Engineer

Role: pplied AI Engineer
Location: Sunnyvale, CA/Austin, TX - Onsite Job

Job Type : Full time


Salary- $150-160K



Production AI Systems : Has shipped AI/LLM features serving real users at scale - not just prototypes or demos

gentic 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


Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.