Senior AI Engineer for Enterprise AI & Automation

RiseMe

Orange (CA)

Hybrid

USD 140,000 - 190,000

Full time

3 days ago

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Benefits offered by this job

Competitive base salary with annual‑up

Medical, dental, vision coverage

401(k) with company match

Paid time off and holidays

Career development & learning

Job summary

Fieldpiece is seeking a Senior AI Engineer to turn AI potential into practical, production-ready solutions across the company. You’ll work with Sales, Marketing, Finance, HR, Product, and IT to identify opportunities and deliver measurable value, choosing the right tech stack for each problem.

You’ll lead the design, development, deployment, and ongoing improvement of AI-enabled applications, agents, and workflows, leveraging Azure, Copilot, Power Platform, and ERP integrations in a dynamic

Qualifications

Bachelor’s degree in CS, AI, or related fields.
5+ years of professional software engineering experience, including ownership of production applications.
2+ years of hands-on experience building solutions using modern AI technologies, including large language models.
Experience translating ambiguous business problems into practical technical solutions.
Hands-on experience with prompt design, retrieval architectures, AI application testing, and model/system evaluation.
Experience building AI agents, multi-agent systems, tool-using agents, RAG solutions, or complex agentic workflows.
Experience integrating APIs, cloud services, enterprise applications, and data sources.
Strong proficiency in Python or another modern language used for AI application development.
Experience with data engineering, analytics, BI, MLOps/LLMOps, observability, or cloud deployment.
Experience with source control, testing, deployment, monitoring, and modern software delivery practices.
Excellent communication skills with the ability to explain complex technical decisions in business terms.
A practical, curious mindset: learning how a business works and how technology can improve it.

Responsibilities

Partner with Fieldpiece teams to understand workflows, pain points, and business needs.
Translate requirements into technical solutions and production-ready applications.
Build AI agents, copilots, workflows, and AI-enabled solutions.
Develop applications using LLMs, RAG, enterprise knowledge systems, APIs, and agentic workflows.
Connect AI to ERP, CRM, PLM, and other enterprise platforms.
Reengineer processes to improve speed, accuracy, and productivity.
Establish testing approaches to ensure accuracy, security, and scalability.
Collaborate with IS, data owners, and security for governance and controls.
Adopt new AI tools and refine solutions based on feedback and results.
Evaluate emerging AI tech and make practical recommendations.