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Senior AI Engineer

Charger Logistics Inc
Remote, USA
Full-time
Senior · 3+ years experience
Remote
Discovered Yesterday
PythonOpenAIAnthropicGoogle APIsSQLBigQuery
Free

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PythonOpenAIAnthropic
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Responsibilities

  • Design, develop, and deploy MCP servers exposing domain services as AI-consumable tools with proper authentication, observability, and error handling.
  • Build multi-agent workflows using orchestration frameworks and agent-to-agent communication protocols for complex logistics automation.
  • Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies—selecting the right approach based on query complexity, data volatility, and domain reasoning requirements.
  • Design hybrid retrieval architectures that route between CAG for static reference data, RAG for dynamic operational queries, and KAG for multi-hop reasoning across structured domain knowledge.
  • Implement LLM integration layers—prompt engineering, function calling, structured output parsing, and model routing for domain accuracy.
  • Collaborate with cross-functional teams to collect requirements and translate operational workflows into agent capabilities.
  • Deploy and maintain agent infrastructure on Kubernetes with GitOps practices and observability tooling.

Requirements

  • Minimum 3 years of experience with Bachelor's in Computer Science, Artificial Intelligence, or a related technical field.
  • Strong communication skills and experience working in interdisciplinary or team-based environments.
  • Solid understanding of REST APIs, microservices architecture, and AI/ML concepts.
  • Experience building production-grade AI applications in Python—not just notebooks or prototypes.
  • Hands-on proficiency with LLM integration: function calling, tool use, structured outputs (OpenAI, Anthropic, or Google APIs).
  • Solid understanding of knowledge retrieval patterns including RAG (Retrieval-Augmented Generation), with familiarity of emerging approaches like KAG (Knowledge-Augmented Generation) and CAG (Cache-Augmented Generation).
  • Proficiency with SQL and at least one analytical data platform (BigQuery, Snowflake, or similar).
  • Experience with cloud platforms and container orchestration (Kubernetes).
  • Background in MCP, agent orchestration frameworks, knowledge graphs, or streaming data systems is a strong asset.

Benefits

  • Competitive Salary
  • Healthcare Benefit Package
  • Career Growth

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