Contract

Zohorecruit; Covington (VA); On-site; USD 150,000 - 210,000; Full time

Job summary

Zohorecruit in Covington, VA is seeking a hands-on Principal Engineer who combines GenAI/LLM expertise with modern data engineering and cloud architecture to identify business problems and deliver production AI solutions that improve advisor productivity, automate workflows, and drive measurable outcomes.

You will design scalable systems, collaborate across engineering, data, product and business teams, and lead initiatives from concept to production, applying best practices in security,

Qualifications

• Bachelor's degree or equivalent with 8+ years of software experience.
• Proven design and delivery of scalable, production-grade software and distributed systems.
• Deep expertise building AI-powered apps with LLMs, agents, and orchestration platforms.
• Experience with Retrieval-Augmented Generation (RAG) and semantic search.
• Strong full-stack skills: Python, TypeScript, Node.js, APIs, React, Next.js.
• Hands-on cloud deployment on AWS/Azure/Google Cloud.
• DevOps practices: containers, Kubernetes, IaC, cloud-native architectures.
• Solid software architecture, security and reliability knowledge.
• Excellent problem-solving, judgment, and collaboration across teams.
• Ability to drive initiatives from concept to production as a Principal Engineer.

Responsibilities

• Lead development of AI-powered capabilities to boost advisor productivity and client engagement.
• Shape scalable architectures and guide implementation from concept to production.
• Collaborate across engineering, data, product and business teams.
• Deliver production AI solutions, automate workflows, and improve outcomes.
• Apply best practices in security, reliability, and DevOps.

Skills

GenAI/LLM expertise

Full-stack engineering

Cloud deployment

DevOps & IaC

Software architecture

Problem solving

Cross-team collaboration

Education

Bachelor's degree or equivalent experience

Master's degree (optional) when combined with 6+ years

Tools

OpenAI

Claude

Bedrock

LangChain

LangGraph

Vector databases

Kubernetes

Terraform

Job description

Covington, United States | Posted on 09/04/2026

Representative initiatives may include developing AI-powered capabilities that improve advisor effectiveness and client engagement, such as:

• Automated meeting preparation and research
• Intelligent call summarization and insight generation
• Automated follow-up and workflow orchestration
• Knowledge retrieval and recommendation systems
• AI-assisted decision support and productivity tools
• Workflow automation leveraging enterprise data sources and communication channels

The Skills You Bring

• Bachelor's degree or equivalent experience with 8+ years of software engineering experience, or a Master's degree with 6+ years of experience.
• Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.
• Deep expertise building AI-powered applications utilizing large language models (LLMs), agent frameworks, and orchestration platforms (e.g., OpenAI, Claude, Bedrock, LangChain, LangGraph).
• Experience developing Retrieval-Augmented Generation (RAG) solutions, semantic search capabilities, and enterprise knowledge systems leveraging vector databases and retrieval frameworks.
• Strong full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js.
• Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.
• Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.
• Strong understanding of software architecture, design patterns, security, and reliability principles for enterprise-scale applications.
• Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.
• Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production.
• Ultimately, I need a hands-on Principal Engineer who combines GenAI/LLM expertise, modern data engineering, and cloud architecture skills to identify business problems and deliver production AI solutions that improve advisor productivity, automate workflows, and create measurable business outcomes.