Chesapeake, VA

Developer Jobs in Chesapeake, VA

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AI Developer

Family Dollar Chesapeake, VA

Chesapeake, VA

Today

Full time Ai Agents Ai Workflows Artificial Intelligence

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Job Description

This on-site AI Developer role in Chesapeake, VA, focuses on building production AI workloads on Google Cloud Platform, including agentic AI, MLOps pipelines, and vendor integrations, from incubation through deployment. The position emphasizes developing in-house AI capabilities with guardrails, experimentation, and mentoring for junior engineers.

Responsibilities

Design, build, and deploy production AI applications on Google Cloud Platform, applying machine learning and generative AI techniques to solutions across merchandising, supply chain, store operations, finance, and customer experience.
Develop agentic AI applications using modern agent development kits and frameworks, including multi-agent workflows, tool integration, and human-in-the-loop checkpoints.
Construct and operate retrieval-augmented generation solutions that ground large language models in Family Dollar data, covering ingestion, embeddings, vector and hybrid search, reranking, and evaluation.
Establish and maintain MLOps pipelines for AI workloads, including CI/CD, model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures.
Implement enterprise-grade guardrails for AI applications, including prompt injection defense, PII handling, content safety, role-based access controls, and audit logging, collaborating with platform, security, infrastructure, and business stakeholders to meet standards on identity, networking, data residency, and compliance.
Evaluate vendor and partner AI products for suitability within Family Dollar's IT environment; develop proofs of concept, conduct technical bake-offs, and deliver clear recommendations.
Execute experiments to assess emerging AI capabilities and determine internal product-market fit.
Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution.
Manage the full lifecycle of code, from initial prompt engineering and fine-tuning to CI/CD and real-time monitoring of agent performance.
Mentor junior engineers and share knowledge across the AI and Automation team.
Collaborate with IT support teams to co-own AI application support, including on-call coverage, while transitioning ownership through SOPs, runbooks, and helpdesk documentation.
Performs other duties as assigned.

Requirements

Authorized to work in the United States without the need for current or future visa sponsorship.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; Master’s degree is preferred.
8+ years of progressive IT experience in large, cross-functional teams or projects, preferably within a retail environment.
Proficient in writing clean, well-tested Python code, participating in code reviews, and contributing to internal libraries, templates, and engineering best practices.
Ability to develop, present, and communicate technical concepts to varied audiences.
Demonstrates urgency and the ability to motivate a team in a dynamic environment.
Experience in retail, supply chain, or large-scale operational environments within retail systems (POS, ERP, CRM, inventory, supply chain, etc).
Advanced knowledge of recent GenAI platform advancements from leading providers and hyperscalers.
Experience with responsible AI practices, model governance, and frameworks for evaluating LLM safety and accuracy.
Contributions to open-source AI projects or relevant publications.

Technologies

Python
Google Cloud Platform
Google Agent Development Kit
Gemini Agent Platform
LangGraph

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Today

Applied AI Lead Developer

Family Dollar Chesapeake, VA

Chesapeake, VA

Today

Full time Ai Agents Ai Ml Ai Workflows

Apply Now

Job Description

The Senior AI Lead Developer will oversee the design, development, and deployment of production AI applications, guiding a hands-on engineering team at Family Dollar. The role emphasizes agentic AI, retrieval-augmented generation, MLOps, and integration with the enterprise IT estate on Google Cloud Platform. A Bachelor’s degree is required, with a Master’s degree preferred, and candidates should bring about 10 years of relevant experience.

Responsibilities

Transform business needs into AI solutions that can be delivered quickly and iteratively on Google Cloud Platform.
Develop agentic AI applications using modern agent development kits and frameworks such as Google Agent Development Kit, Gemini Agent Platform, and LangGraph, including multi-agent workflows, tool integration, and human-in-the-loop checkpoints.
Design and operate retrieval augmented generation pipelines that ground LLMs in Family Dollar data, covering data ingestion, embeddings, and vector stores.
Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution.
Establish and maintain MLOps and CI/CD pipelines for AI workloads, including model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures.
Implement enterprise-grade guardrails for AI applications, including prompt-injection defenses, PII handling, content safety, role-based access controls, and audit logging; collaborate with platform, security, infrastructure, and business stakeholders to meet standards for identity, networking, data residency, and compliance.
Define integration patterns and data contracts to connect AI applications with the existing IT estate, detailing APIs and data exchanges across identity, networking, data, and retail systems (POS, ERP, CRM, inventory, supply chain) in partnership with system-owning teams.
Own the technical quality across AI initiatives by setting engineering standards, conducting code reviews, and minimizing technical debt to maintain operability and maintainability.
Collaborate with IT support to transition operations through SOPs, runbooks, dashboards, on-call coverage, and escalation points after handover.
Lead and mentor the engineering team, promoting knowledge sharing and enforcing technical standards across the AI and Automation functions.
Provide on-call technical support as needed.
Perform other duties as assigned.

Requirements

Experience in retail, supply chain, or large-scale operational environments involving retail systems such as POS, ERP, CRM, inventory, and logistics.
Advanced knowledge of recent GenAI platform developments and capabilities.
Hands-on experience with Google Cloud Platform, generative AI, large language models, and agentic frameworks.

Technologies

Python
Google Cloud Platform
Google Agent Development Kit
Gemini Agent Platform
LangGraph

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Developer Jobs in Chesapeake, VA

AI Developer

Applied AI Lead Developer

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