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Generative AI Developer

Welcome to BWXT 

We believe in empowering our employees and cultivating a dynamic workplace that fosters growth and collaboration. Whether you’re an experienced professional or just starting your career, you'll find opportunities to challenge yourself, learn from seasoned experts, and contribute to nuclear innovation. We require a diverse range of skills to support our work in the markets that drive our business and welcome candidates from all backgrounds and life stages who are passionate about making a difference.

 

Position Overview:

As a key member of our AI engineering team, the Generative AI Workflow Developer will design, build, deploy and maintain intelligent, multi-step workflows and conversational systems. You will combine expertise in large language models (LLMs), orchestration frameworks (such as n8n), cloud or hybrid infrastructure (primarily Azure) and emerging open-source AI tooling. You will collaborate cross-functionally to integrate AI-driven capabilities into enterprise applications and drive continuous improvement of deployed agents and systems.

 

Location:

Onsite in Melbourne, FL with hybrid schedule.

 

Your Day to Day as a Generative AI Developer: 

  • 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.

 

Required Minimum Qualifications:

  • 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 Additional Qualifications:

  • 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.

 

What We Offer:

  • Competitive salary and benefits package, including health, dental, and retirement plans.
  • Flexible work schedules and paid time off to promote a healthy work-life balance.
  • Professional development opportunities, including mentorship programs and sponsorship for continuing education.
  • An inclusive atmosphere that celebrates new perspectives and supports collaboration between different generations.
  • The chance to be part of a mission-driven organization making a positive impact on the future of energy.
  • Opportunities for continuous learning and training to grow throughout your career!