Applied AI Engineer

Sunnyvale, CA, US • Posted 1 day ago • Updated 11 hours ago
Full Time
On-site
Depends on Experience
Fitment

Dice Job Match Score™

🔗 Matching skills to job...

Job Details

Skills

  • Artificial Intelligence
  • Good Clinical Practice
  • Google Cloud Platform
  • Microsoft Azure
  • Kubernetes
  • IaaS
  • Python
  • Regression Analysis
  • Microsoft Certified Professional
  • SDK
  • Debugging
  • Economics
  • TypeScript
  • Rust
  • Prototyping
  • Orchestration
  • Amazon Web Services
  • Docker
  • Caching
  • agentic
  • Model Context Protocol
  • API

Summary

Full Time Role ( Not for Contracting )

Hi,
Job Title: Applied AI Engineer
Job Location: Sunnyvale, CA / Austin, TX : Onsite
Job Type: Full Time
Responsibilities:

  • 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/Google Cloud Platform/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

    Thanks & Regards,

    Vijai

    Reveille Technologies Inc,

    Direct:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10121364
  • Position Id: 8960403
  • Posted 1 day ago
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