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Salary: USD 215,000 - 253,000 / annual
BigPanda is hiring an AI Engineer for Biggy Engineering, an early-stage generative AI platform for IT Operations built within an established enterprise company. The team is building AI-powered incident response, prevention, automation, knowledge retrieval, workflow execution, and operational intelligence capabilities.
You will design, build, and ship AI-powered product capabilities end-to-end: understanding customer problems, shaping solutions, making technical decisions, building systems, validating them, launching, and iterating quickly. You'll work across full-stack systems, APIs, workflow orchestration, secure ingestion, vector database indexing, automation frameworks, agent workflows, and direct customer collaboration.
Key responsibilities include:
- Build production-grade software across backend services, APIs, web applications, workflow systems, AI agents, enterprise integrations, and automation platforms
- 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 (Cursor, Claude Code, etc.) as a core part of your development workflow
- Write high-quality prompts for development, debugging, product behavior, agent execution, data extraction, and customer-facing AI experiences
- Propose, design, and own features from concept through delivery, including customer discovery, technical design, implementation, validation, release, and iteration
- Work directly with customers, GTM, product, and other engineers to identify high-value problems
- Make pragmatic tradeoffs between speed, quality, reliability, cost, latency, scalability, and customer impact
- Move fast in ambiguous problem spaces without hiding behind process or excessive documentation
- Respond rapidly to bugs, regressions, and customer-impacting issues
- Help raise the team's bar for velocity, technical judgment, ownership, and customer-focused execution
The team values extreme ownership, high urgency, and a strong bias for action. Engineers operate with agency, judgment, output, speed, customer empathy, technical depth, and the ability to turn ambiguity into valuable product. This is not a role for those who need fully defined requirements, prefer long design cycles, are uncomfortable with direct customer interaction, or don't want AI tools deeply embedded in daily workflow.
REQUIREMENTS:
- Strong software engineering fundamentals across backend, full-stack, distributed systems, 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: learn quickly, make forward progress independently, develop ideas to improve customer outcomes and team operations
- Extreme ownership: care about outcomes, customer impact, reliability, and follow-through
- High velocity: motivated to ship, learn, and iterate quickly while maintaining sound engineering judgment
- Customer curiosity: want direct exposure to users and comfortable using customer feedback to shape priorities
- Product judgment: 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 (Cursor, Claude Code, ChatGPT, or similar); should already be using AI to materially improve 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: 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
Technical areas you may work in include: agentic coding (Cursor, Claude Code), TypeScript/Node.js backend services, ITOps domain expertise, React/Next.js applications, Slack and Microsoft Teams applications, agent workflow engines, RAG pipelines, vector databases, knowledge graphs, prompt engineering, ServiceNow/ITSM integrations, data ingestion and processing, and AWS-based service architecture.
Visa sponsorship is not available for this position.
