Senior Software Engineer, AI Platform

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $187k - $220k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

BigPanda

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $20M Series E on 2022-08

Artificial Intelligence • Enterprise • SaaS

BigPanda is a company that specializes in AI-powered IT operations and incident management. Their platform helps organizations improve operational efficiency and service reliability by automating incident management workflows and transforming IT data into actionable insights. BigPanda's solutions are designed to reduce alert noise, increase the speed and productivity of IT operations teams, and enhance service availability. Integrating with tools like ServiceNow, BigPanda offers a unified analytics dashboard to support data-driven collaboration and situational awareness. They are trusted by global enterprises to streamline IT operations and incident management, transforming manual processes through automation and advanced AI technologies.

📋 Description

• Design, build, and ship platform capabilities powering AI across BigPanda's products • Own meaningful features end to end from customer problem discovery through technical decisions, implementation, validation, launch, issue response, and iteration • Build production-grade 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 systems such as ServiceNow and Snowflake • 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 and Claude Code in the development workflow • Write 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 with customers, GTM, product, and engineering teams to identify high-value problems and translate them into product capabilities • Make tradeoffs between speed, quality, reliability, cost, latency, scalability, and customer impact • Respond rapidly and transparently to bugs, regressions, and customer-impacting issues • Collaborate through paired development, design discussion, code review, debugging, and technical debate • Contribute to internal tools and processes and raise the team's standards for velocity, technical judgment, ownership, and customer-focused execution • Shape the strategic roadmap and technical choices influencing customer experience across the BigPanda platform

🎯 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 and ability to learn quickly and make forward progress independently • Extreme ownership of outcomes, customer impact, reliability, and follow-through • Ability to ship, learn, and iterate quickly while maintaining sound engineering judgment • Customer curiosity and comfort using customer feedback to shape priorities • Product judgment focused on 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 • Ability to architect and build safe enterprise agent systems that reason, retrieve context, call tools, execute actions, and handle errors • Ability to challenge ideas directly while remaining considerate and collaborative • Comfort with uncertainty, changing priorities, incomplete requirements, and fast iteration cycles • Excitement about applying AI to enterprise IT Operations problems • Familiarity with data ingestion, indexing, synchronization, and unstructured data processing • Familiarity with ServiceNow, Snowflake, ITSM, monitoring, alerting, and incident management integrations • Familiarity with knowledge graphs, agent memory, and enterprise knowledge modeling • Familiarity with authentication, authorization, OAuth, SSO, API keys, and RBAC • Familiarity with TypeScript / Node.js backend services • Familiarity with S3, SQS, Lambda, and AWS-based service architecture • Familiarity with React / Next.js customer-facing applications • Familiarity with agent workflow engines and agent tracing tools such as LangSmith • Familiarity with prompt engineering, context engineering, and tool-use design • ITOps domain expertise in 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 environment • Unlimited 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 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 • Work-from-home stipend to support remote work arrangements • Values-based culture • Career development opportunities • Bonus compensation • One compensation review cycle per year

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume