Applied AI Engineer

Swinerton•Concord, CA

1d•$120,000 - $170,000

About The Position

We are seeking an Applied AI Engineer to build and deliver practical AI solutions that drive automation, productivity, and business value. This role is focused on turning business needs into working solutions - from intelligent workflows and copilots to agent-based tools and AI-enabled applications. The ideal candidate is both technically strong and highly hands-on, with the ability to design, prototype, build, and deploy scalable solutions that solve real business problems.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
3+ years of experience in software engineering, AI engineering, machine learning engineering, or similar hands-on technical roles.
Hands-on experience building and deploying AI-enabled applications, automations, or intelligent workflows in an enterprise environment, including delivery within defined solution direction and architectural guardrails.
Experience with AI frameworks, APIs, and tools for LLMs, retrieval, tool/function calling, orchestration, or multi-agent workflows.
Strong programming and engineering skills, including CI/CD, deployment automation, monitoring, and operational support practices for AI or software solutions.
Strong problem-solving, communication, and stakeholder collaboration skills.

Nice To Haves

Familiarity with frameworks and protocols such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, MCP, or similar tools is preferred.
Experience with enterprise cloud and AI development platforms such as Microsoft Foundry, Databricks, or similar enterprise ecosystems is preferred.
Construction industry experience is preferred but not required.

Responsibilities

Build and deploy AI-powered automations and agent-based solutions that improve business processes and productivity.
Design and implement practical AI workflows using LLMs, retrieval, tool/function calling, orchestration, multi-agent patterns, integrations, and related technologies.
Integrate AI capabilities into enterprise systems, applications, and business processes to support real-world adoption and measurable value.
Test, monitor, troubleshoot, and continuously improve deployed AI solutions for reliability, usability, and performance.
Collaborate with business and technical stakeholders to refine requirements and translate them into working solutions.
Contribute reusable patterns, engineering practices, and responsible AI approaches that support scalable solution delivery.