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BWXT · 19 hours ago

Generative AI Developer

Melbourne, FL

Full-time

Hybrid

Mid Level

$66K/yr - $101K/yr

3+ years exp

BWX Technologies, Inc. is a leading innovator in nuclear solutions, and they are seeking a Generative AI Developer to join their AI engineering team. The role involves designing, building, and maintaining intelligent workflows and conversational systems, leveraging large language models and orchestration frameworks.

Clean EnergyIndustrial EngineeringManufacturingMechanical Engineering

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Leads the design and implementation of autonomous, multi-step AI agents (workflows) that leverage LLMs + orchestration to automate complex business processes (e.g., research automation, document processing, data synthesis)

Creates workflow automations using orchestration tools such as n8n (or equivalents), connecting APIs, event triggers, data sources, and AI models into end-to-end solutions

Develops, deploys and manages Generative AI solutions using both cloud and open-source ecosystems: e.g., Microsoft Azure services (Azure OpenAI Service, Azure AI Search / Cognitive Search, Azure Machine Learning, Azure Functions) and open-source frameworks (e.g., Ollama, LangChain, LlamaIndex, Hugging Face stacks)

Contributes to the design and implementation of conversational AI systems (chatbots, virtual assistants) capable of business-task execution and user-interaction

Applies advanced prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation) architectures and model-optimization techniques to ensure high performance, accuracy and reliability of deployed agents

Collaborates with data scientists, business analysts, product owners and engineering teams to integrate AI workflows into enterprise systems, aligning with business objectives and user needs

Establishes testing, monitoring, optimization and governance frameworks for AI agents — covering performance metrics, reliability, bias-mitigation, ethical AI compliance and scalability

Documents technical architecture, workflow designs, integration points, and operational support procedures; participates in knowledge sharing and best-practice establishment

Stays abreast of advances in generative AI, orchestration technologies, workflow automation and the open-source ecosystem; contribute to proof-of-concepts and innovation-driven pilots

Qualification

Generative AILarge Language ModelsMicrosoft AzureWorkflow AutomationPythonNLPOrchestration FrameworksContainerizationCI/CDAnalytical SkillsCommunication SkillsProblem-Solving Skills

Required

Bachelor's degree in Computer Science, Information Systems, or a related discipline

At least 3 years of professional experience in software development, AI/ML engineering or data science — of which at least 1 year must be focused on Generative AI or LLM-based applications

Hands-on experience deploying and managing AI/ML solutions within the Microsoft Azure platform including (but not limited to) Azure OpenAI Service and Azure AI Search / Cognitive Search

Proven experience building workflow automations or orchestration using tools such as n8n, Logic Apps, or equivalent

Solid programming skills in Python, and experience with APIs, data pipelines and integration of external services

Familiarity with containerization (Docker) and orchestration technologies (Kubernetes / AKS) in enterprise production environments

Experience with CI/CD, GitOps or MLOps practices for model deployment and lifecycle management

Strong understanding of Natural Language Processing (NLP), Large Language Models (LLM), Retrieval-Augmented Generation (RAG), prompt engineering and related techniques

Excellent communication skills with the ability to present complex technical concepts in business-friendly language and collaborate across functional teams

Proven analytical and problem-solving skills, strong attention to detail, self-motivation and ability to thrive in a fast-paced environment

Must be a U.S. citizen with no dual citizenship

Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance

Preferred

Experience working with open-source generative AI frameworks such as Ollama, LangChain, LlamaIndex, or Hugging Face model ecosystems

Experience designing or deploying conversational agents or virtual assistants in a business context

Familiarity with enterprise security, compliance, data governance and ethical AI best practices

Previous experience in multi-step, agentic workflow architectures (i.e., agents that orchestrate other agents or workflows) and building orchestration pipelines for LLMs

Experience working in agile product-driven environments, delivering production-ready AI features with measurable business impact

Orchestration/integration work experience using JavaScript or Node.js

Web development skills including ASP.Net, C#, JavaScript, CSS