Senior Software Developer - Conversational AI

Description:

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 personalisation.

- 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, summarisation, 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 dialogue 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-centred digital engagement.