Senior Software Engineer, AI Platform at BigPanda

Job description

Location requirements: Remote based role. Open to candidates in the USA across Mountain, Central, and Eastern time zones. About the Team AI Platform is building the foundation for BigPanda's generative AI products for IT Operations: unified data connectors (UDC), secure ingestion and indexing of enterprise data, unified identity and access, and the shared agentic infrastructure behind AI-powered incident response, prevention, automation, knowledge retrieval, and operational intelligence. We are expanding what enterprise IT teams can do with AI, not just making existing workflows slightly faster. This is an early-stage platform environment inside an established enterprise company. We move quickly, work directly with customers, make pragmatic tradeoffs, and prioritize shipping differentiated customer value over the perfect process. Engineers on this team are expected to operate with extreme ownership, high urgency, and a strong bias for action. The ideal candidate is a strong product-minded software engineer with hands-on AI experience, but less traditional paths are welcome. We care most about agency, judgment, output, speed, customer empathy, technical depth, and the ability to turn ambiguity into a valuable product for our customers. Today, the AI Platform team operates across data ingestion and synchronization, enterprise integrations, vector database indexing, APIs, authentication and RBAC, workflow orchestration, agentic infrastructure, and direct customer collaboration. What You'll Do As a Senior Software Engineer on AI Platform, you will design, build, and ship the platform capabilities that power AI across BigPanda's products. You will own meaningful features end to end: understand the customer problem, shape the solution, make technical decisions, build the system, validate it hands-on, launch it, respond to issues, and iterate quickly. You will work on systems involving data ingestion and synchronization, enterprise integrations, LLMs, agents, RAG, knowledge graphs, vector databases, workflow orchestration, automation, web applications, APIs, authentication and RBAC, and operational data pipelines. You will be expected to maximize velocity and output without becoming reckless. The team values engineers who take problems head-on, unblock themselves, communicate clearly, and push through ambiguity rather than waiting for perfect requirements or ideal conditions. You will also be expected to share best practices and contribute where you see opportunities to enhance how the team as a whole operates to meet our goals. While the role is centered on engineering execution, our core operating philosophy prioritizes complete product success above all else. Every team member meets with and builds relationships with customers, develops their own ideas, and shares ownership of our strategic roadmap, actively shaping what we ought to construct and driving technical choices that directly influence the customer experience across the BigPanda platform. Responsibilities Build production-grade software across backend services, APIs, data ingestion pipelines, enterprise integrations, web applications, workflow systems, and automation platforms. Build and own secure, reliable ingestion of customer data from enterprise systems like ServiceNow and Snowflake, so our AI products have the context they need. Architect and implement AI-native capabilities using LLMs, prompting, tool calling, agent orchestration, RAG, vector search, knowledge graphs, embeddings, and structured/unstructured enterprise data. Use AI coding platforms such as Cursor, Claude Code, and similar tools as a core part of your development workflow to increase speed, exploration, and delivery quality. Write high-quality prompts for development, debugging, product behavior, agent execution, data extraction, reasoning workflows, and customer-facing AI experiences. Propose, design and own features from concept through delivery, including customer discovery, technical design, imp