Project One
From Project One's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You will shape technical direction, influence engineering best practices, and deliver AI capabilities from concept through production.
On-site Every Other Week onsite / 5 days in the Cincinnati, OH area.
Our client seeks a Principal AI Engineer to help build a new AI engineering organization that delivers innovative AI solutions enhancing advisor and client experiences. You will shape technical direction, influence engineering best practices, and deliver AI capabilities from concept through production. You will partner with business leaders, product teams, architects, data scientists, and engineers to identify high-value use cases and build secure, scalable, enterprise-grade AI solutions that drive measurable outcomes. The role blends hands-on engineering across AI, data, and cloud with stakeholder alignment and product thinking.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $75.00 to $88.00/hr. w2
Define technical strategy and establish engineering best practices for AI-powered solutions across advisor and client experiences.
Design, build, and deploy scalable applications and distributed systems in cloud environments.
Develop AI and LLM capabilities including agents, RAG, semantic search, and workflow automation using platforms such as OpenAI, Claude, Bedrock, and frameworks like LangChain and LangGraph.
Partner with business leaders, product teams, architects, data scientists, and engineers to identify high-value use cases and deliver measurable outcomes.
Implement knowledge retrieval and recommendation systems leveraging vector databases and retrieval frameworks.
Lead full-stack development using Python, TypeScript, Node.js, React, and Next.js with secure APIs and cloud-native patterns.
Apply platform engineering and DevOps practices including containers, Kubernetes, and Infrastructure-as-Code for reliable delivery.
Drive decisions that improve performance, reduce costs, and increase reliability while aligning with business priorities.
Mentor engineers, set technical standards, and foster a high-performance engineering culture.
Translate emerging AI capabilities into practical, production-grade applications that enhance advisor productivity and client engagement.
Bachelor's degree or equivalent experience with 8+ years of software engineering experience, or a Master's degree with 6+ years.
Proven delivery of production-grade software and distributed systems at scale.
Deep expertise building AI applications with LLMs, agent frameworks, and orchestration platforms.
Hands-on experience with Retrieval-Augmented Generation, semantic search, and enterprise knowledge systems.
Full-stack proficiency with Python, TypeScript, Node.js, React, and Next.js.
Cloud deployment experience with AWS, Azure, or Google Cloud.
Experience with containers, Kubernetes, Terraform, and cloud-native architectures.
Strong grounding in software architecture, design patterns, security, and reliability.
Demonstrated problem-solving skills and sound technical judgment.
Proven ability to collaborate across engineering, data, product, and business teams from concept to production.
Bachelor's degree in a related field or equivalent experience. Master's degree preferred.
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