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Salary
≈ $26k – $54k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

First seen by Alion on Oct 26, 2026. Arctic Wolf scores A on the Alion truth index.

Overview
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Profile match
Arctic Wolf is an American security company founded in 2012 that sells security operations as a service to organisations too small to run a security operations centre of their own. Rather than selling software for a customer's own analysts to operate, it assigns a named concierge security team that monitors the customer's environment, investigates alerts and tells them what to fix, using telemetry collected from tools the customer already owns. Headquartered in Eden Prairie, Minnesota and privately held at a multi-billion dollar valuation, it acquired Cylance from BlackBerry in 2025 to add its own endpoint agent.

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.

Skills

Botpress, Go, JavaScript, LLM, LangChain, Microsoft Bot Framework, Pinecone, Python, RAG, Rasa, Weaviate, large language model

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