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, 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. What We're Looking For • 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. Technical Areas You May Work In Already (You do not need to be familiar with all of these) • Extremely familiar with agentic coding (Cursor, Claude Code, Codex etc.) • Data ingestion, indexing, synchronization, and unstructured data processing • ServiceNow, Snowflake, ITSM, monitoring, alerting, and incident management integrations • RAG pipelines, vector databases, embeddings, and retrieval systems • Knowledge graphs, agent memory, and enterprise knowledge modeling • Authentication, authorization, OAuth, SSO, API keys, and RBAC • TypeScript / Node.js backend services • S3, SQS, Lambda, and AWS-based service architecture • React / Next.js customer-facing applications • Agent workflow engines, Agent-tracing, Langsmith etc. • Prompt engineering, context engineering, and tool-use design • ITOps domain expertise: change risk, ITSM, and incident prevention use cases You'll Thrive Here If You are a builder with urgency and agency. You do not hesitate when faced with ambiguity, hard problems, unfamiliar technology, or customer pressure. You take things head-on, figure out what needs to be learned, use every tool available to move faster, and drive the work to completion. You figure out what we should be building and how we should be operating, you are not simply assigned tasks. You are comfortable building a strong MVP quickly, putting it in front of users, learning from feedback, and improving it. You care about architecture, but you do not use architecture as an excuse to slow down. You value direct communication, high standards, fast feedback loops, and meaningful customer impact. This May Not Be the Right Role If You need fully defined requirements before starting, prefer long design cycles before implementation, are uncomfortable with direct customer interaction, or do not want AI tools deeply embedded in your daily engineering workflow. It may also not be a fit if you prefer narrow ownership, low ambiguity, low conflict, or optimizing mature systems more than inventing new product capabilities. Why This Role Matters AI Platform is at the center of BigPanda's unified platform strategy. The AI capabilities we bring to market, from how enterprise IT Operations teams investigate incidents to how they prevent outages, automate workflows, and make operational decisions, depend on the data, identity, and agentic infrastructure this team builds. A strong engineer on this team will directly influence platform direction, customer outcomes, engineering velocity across every team, and the pace at which BigPanda brings differentiated AI capabilities to market. About Us: BigPanda delivers agentic automation for IT operations. We enable enterprise IT to keep its digital world running by transforming manual and reactive human processes into intelligent, autonomous systems that detect, respond, and prevent IT incidents at machine speed. That’s why the world’s most trusted brands rely on BigPanda to improve operational efficiency and deliver exceptional service reliability to their customers. We have an awesome team of motivated, knowledgeable, fun-loving, and friendly Pandas. We provide comprehensive health coverage, parental leave, competitive cash and equity compensation, and a supportive, collaborative, and innovative environment to empower you to do the best work of your career. Our Benefits: • Competitive equity • Remote-first environment • Unlimited PTO • Twelve (12) paid holidays throughout the year • Comprehensive health benefits • #PandaParent support. Financial assistance for fertility, adoption, and surrogacy expenses, plus up to eighteen (18) weeks of fully paid leave for birthing parents and up to twelve (12) weeks for non-birthing parents. • Financial planning services • Employee learning & development budget • Values-based recognition (quarterly and annually) • Social community & ERG programs • Dog friendly office • Lunches provided in office • Flexible work environment along with a work-from-home stipend to support remote work arrangements • Values-based culture Please note that visa sponsorship is not available for this position. Market competitive salary with an anticipated base compensation range of $187,000 - $220,000. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location BigPanda offers a generous total rewards package that includes base pay, bonus, equity, and a world-class benefits program. We run one (1) compensation review cycle per year to ensure that managers can recognize employees without much lag between achievement and reward. All of this builds toward the best compensation we can give to anyone: the ability to develop your skills each and every day. BigPanda has a significant focus on career development that is at the core of our employee experience. BigPanda is proud to be an Equal Employment Opportunity workplace employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Note: BigPanda is an E-Verify Employer If you need assistance or an accommodation due to a disability, you may contact us at peoplequestions@bigpanda.io.

Requirements

Must-haves

About the Team
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.
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.
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.

Nice-to-haves

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Keywords to mirror

aiapitypescriptnode.jsawsreactnext.js

Platform: gem
Effort: medium

Benefits

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Pto

Parental Leave