Senior Software Engineer, AI Platform

BigPanda delivers agentic automation for IT operations, helping enterprises detect, respond to, and prevent incidents through intelligent autonomous systems. The Senior Software Engineer will design, build, and ship AI Platform capabilities, owning features end to end across data ingestion, enterprise integrations, agentic infrastructure, APIs, and AI-powered product systems. The role also involves direct customer collaboration, technical decision-making, rapid iteration, and contributing to team engineering practices.

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, implementation, manual validation, release, bug resolution, and iteration
• Work directly and build relationships with customers, GTM, product, and other engineers to identify high-value problems and translate them into product capabilities
• Make pragmatic tradeoffs between speed, quality, reliability, cost, latency, scalability, and customer impact
• Move fast in ambiguous problem spaces without hiding behind process, excessive documentation, or prolonged design debates
• Respond rapidly and transparently to bugs, regressions, and customer-impacting issues
• Collaborate through paired development, design discussion, code review, debugging, and direct technical debate
• Help raise the team's bar for velocity, technical judgment, ownership, and customer-focused execution, building and contributing to internal tools and processes within and outside of our team

Requirements:

• Strong software engineering fundamentals across backend, full-stack, distributed systems, data pipelines, APIs, or product engineering
• Hands-on experience building AI-enabled product capabilities with LLMs, RAG, vector databases, embeddings, agents, workflow automation, knowledge systems, or related technologies
• High agency: you learn what you need to learn quickly, make forward progress independently, and do not wait for someone else to define every step. You want to develop ideas independently to improve customer outcomes and team operations
• Extreme ownership: you care about outcomes, customer impact, reliability, and follow-through, not just completing assigned tickets
• High velocity: you are motivated to ship, learn, and iterate quickly while maintaining sound engineering judgment
• Customer curiosity: you want direct exposure to users and are comfortable using customer feedback to shape priorities
• Product judgment: you can distinguish between what is technically interesting and what creates meaningful customer value
• Strong practical prompting skills, including prompt iteration, context design, tool-use instructions, structured outputs, and failure-mode analysis
• High proficiency with modern AI development tools such as Cursor, Claude Code, ChatGPT, or similar platforms; you should already be using AI to materially improve your engineering output
• Ability to architect and build agent systems that can reason, retrieve context, call tools, execute actions, handle errors, and operate safely in enterprise environments
• Healthy conflict: you can challenge weak ideas directly while remaining considerate, collaborative, and low-ego
• Comfort with uncertainty, changing priorities, incomplete requirements, and fast iteration cycles
• Excitement about applying AI to real enterprise IT Operations problems, not just building demos
• Please note that visa sponsorship is not available for this position