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# AI Engineer

- **Company:** Charger Logistics
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $171,000.0 - $269,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Apache HTTP Server, BigQuery, Cloud Computing, Graph Database, Java Virtual Machine (JVM), Python (Programming Language), Machine Learning, Reference Data, Software Engineering, SQL Databases, Data Streaming, AI Infrastructure, Datadog, Retrieval-Augmented Generation, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Kubernetes, Information Technology, Atlassian Tools, Machine Learning Operations, Restful APIs, Stream Processing, Microservices
- **Published:** September 13, 2026
- **Apply:** https://www.builtincolorado.com/job/senior-ai-engineer/11167265?handler=ApplyRedirect

## About the Role

We are looking for a highly motivated AI Engineer to join our team and contribute to the development of AI-driven solutions for various departments. This role focuses on building production AI agents and MCP (Model Context Protocol) integrations that automate real logistics workflows-dispatch, billing, compliance, and fleet operations-improving the reliability, transparency, and efficiency of AI applications in real-world, high-stakes environments., * 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.

## Description

* 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., Leads software engineering efforts within an agile infrastructure platform team. Develops, reviews, debugs, and governs secure production code using Java full-stack technologies, React, cloud platforms, containers, and relational databases. Drives adoption of AI-assisted engineering tools, establishes validation and security standards, coaches technical teams, promotes SDLC automation, and influences technology decisions. Balances hands-on development with technical leadership and contributes to an inclusive engineering culture.
Top Skills: AWSAzureDockerGCPGithub CopilotHibernate/JpaJava 11+KubernetesLarge Language Models (Llms)MySQLOraclePostgresReactRestful ApisSpring BootSpring Framework
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