Senior Software Engineer, AI Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and deploy platform functionalities that support AI across BigPanda's offerings.

• Take ownership of significant features from the initial identification of customer problems through to technical decision-making, implementation, validation, launch, issue resolution, and iteration.

• Create production-quality backend services, APIs, data ingestion pipelines, enterprise integrations, web applications, workflow systems, and automation platforms.

• Establish and maintain secure and reliable ingestion of customer data from platforms like ServiceNow and Snowflake.

• Architect and execute AI-native functionalities utilizing LLMs, prompting, tool invocation, agent orchestration, RAG, vector search, knowledge graphs, embeddings, and both structured and unstructured enterprise data.

• Utilize AI coding platforms such as Cursor and Claude Code within the development process.

• Formulate prompts for development, debugging, product behavior, agent execution, data extraction, reasoning workflows, and customer-facing AI interactions.

• Propose, design, and manage features from inception to delivery, encompassing customer discovery, technical design, implementation, manual validation, release, bug resolution, and iteration.

• Collaborate directly with customers, go-to-market teams, product teams, and engineering teams to pinpoint high-value challenges and translate them into product capabilities.

• Balance speed, quality, reliability, cost, latency, scalability, and customer impact in decision-making.

• Respond promptly and transparently to bugs, regressions, and issues affecting customers.

• Engage in paired development, design discussions, code reviews, debugging sessions, and technical debates for collaborative growth.

• Contribute to internal tools and processes while elevating the team's standards for speed, technical judgement, ownership, and customer-centric execution.

• Influence the strategic roadmap and technical decisions that shape customer experience across the BigPanda platform.

⛳️ Requirements

• Solid software engineering fundamentals across backend, full-stack, distributed systems, data pipelines, APIs, or product engineering.

• Practical experience in constructing AI-enabled product capabilities utilizing LLMs, RAG, vector databases, embeddings, agents, workflow automation, knowledge systems, or similar technologies.

• High level of agency and the ability to learn swiftly and progress independently.

• Strong ownership of outcomes, customer impact, reliability, and follow-through.

• Capability to ship, learn, and iterate quickly while upholding solid engineering judgment.

• Customer curiosity and comfort in utilizing customer feedback to shape priorities.

• Product judgment that emphasizes significant customer value.

• Expertise in practical prompting skills, including prompt iteration, context design, tool-use instructions, structured outputs, and failure-mode analysis.

• High proficiency with contemporary AI development tools such as Cursor, Claude Code, ChatGPT, or similar platforms.

• Ability to design and construct safe enterprise agent systems capable of reasoning, retrieving context, invoking tools, executing actions, and managing errors.

• Capacity to challenge ideas directly while remaining respectful and collaborative.

• Comfort with ambiguity, shifting priorities, incomplete requirements, and rapid iteration cycles.

• Enthusiasm for applying AI to enterprise IT Operations challenges.

• Familiarity with data ingestion, indexing, synchronization, and processing unstructured data.

• Understanding of ServiceNow, Snowflake, ITSM, monitoring, alerting, and incident management integrations.

• Knowledge of knowledge graphs, agent memory, and enterprise knowledge modeling.

• Familiarity with authentication, authorization, OAuth, SSO, API keys, and RBAC.

• Acquaintance with TypeScript / Node.js backend services.

• Familiarity with S3, SQS, Lambda, and AWS-based service architecture.

• Knowledge of React / Next.js for customer-facing applications.

• Understanding of agent workflow engines and agent tracing tools like LangSmith.

• Expertise in ITOps domain related to change risk, ITSM, and incident prevention use cases.

• Visa sponsorship is not available for this position.

🏝️ Benefits

• Comprehensive health coverage.

• Parental leave.

• Competitive equity.

• Remote-first work environment.

• Unlimited paid time off (PTO).

• Twelve (12) paid holidays throughout the year.

• #PandaParent support: Financial assistance for fertility, adoption, and surrogacy expenses.

• Up to eighteen (18) weeks of fully paid leave for birthing parents.

• Up to twelve (12) weeks of paid leave for non-birthing parents.

• Financial planning services.

• Employee learning & development budget.

• Values-based recognition, awarded quarterly and annually.

• Social community & Employee Resource Group (ERG) programs.

• Dog-friendly office environment.

• Lunches provided in the office.

• Flexible work arrangements.

• Work-from-home stipend to support remote work setups.

• Values-driven culture.

• Opportunities for career development.

• Bonus compensation.

• Annual compensation review cycle.