Sr. Software Developer - Agentic AI and LLM Platforms

We're looking for a Senior Software Developer - AI Customer Engagement to design and build the next generation of Conversational AI experiences that transform how our customers interact with Arctic Wolf's Security Operations Cloud. You'll be part of a team building intelligent, context-aware assistants that help customers access insights, automate workflows, and resolve issues faster, all through natural, human-like conversations.
This role is ideal for an engineer with a strong software foundation who is passionate about applied AI, large language models (LLMs), and customer-centric product experiences. You'll work closely with our product, data science, and customer success teams to deliver high-impact Conversational AI solutions that enhance customer engagement, self-service, and operational efficiency.
Responsibilities:
Design and implement Conversational AI systems leveraging LLMs, retrieval-augmented generation (RAG), and dialogue orchestration frameworks.
Build intelligent assistants and chat interfaces that integrate seamlessly with Arctic Wolf's Aurora platform and customer portals.
Develop and maintain backend services and APIs in Python, Go, or JavaScript to support conversational flows, context retrieval, and personalization.
Integrate with internal and external systems (CRM, Support, Knowledge Base, Security Operations data) to enable rich, context-aware responses.
Collaborate with data scientists and ML engineers to fine-tune models and improve language understanding, summarization, and recommendation quality.
Implement observability and feedback loops to monitor AI accuracy, tone, and effectiveness in real customer interactions.
Participate in code reviews, testing, and CI/CD workflows to ensure reliable, high-quality software delivery.
Requirements:
5+ years of software development experience, ideally with a focus on AI-powered or customer-facing applications.
Strong programming skills in Python, Go, or JavaScript, with experience building scalable backend systems.
Hands-on experience with Conversational AI frameworks (LangChain, Rasa, Botpress, Microsoft Bot Framework, or similar).
Familiarity with LLMs and vector databases (OpenAI API, Azure OpenAI, Pinecone, Weaviate, or similar).
Hands-on experience building chatbots or conversational agents: designing dialog flows, maintaining context, handling multi-turn interactions.
Proficiency in deep learning frameworks, including TensorFlow, Keras, and PyTorch.
Deep technical expertise with neural network architectures(DNNs, RNNs, CNNs).
Experience working with REST APIs, JSON data, and cloud platforms (AWS, GCP, or Azure).
Interest in cybersecurity and the opportunity to make AI a core part of secure, human-centered digital engagement.

Experience
5-9 yrs