# Senior Software Engineer, Biggy Engineering

**Company:** [BigPanda](https://hotfix.jobs/companies/bigpanda)
**Location:** Remote
**Role:** Fullstack Engineering
**Skills:** TypeScript, Node.js, React, Next.js, Fastify, LLMs, RAG, Vector Databases, Prompt Engineering, AWS
**Posted:** 2026-05-15

> Build AI-native IT Operations platform features including agent workflows, RAG systems, backend services, and full-stack applications using LLMs and modern AI tools. Own end-to-end delivery with direct customer collaboration in an early-stage, high-ownership environment.

## Job Description

## Responsibilities
- 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 such as Cursor, Claude Code, and similar tools as a core part of your development workflow.
- Write high-quality prompts for development, debugging, product behavior, agent execution, data extraction, reasoning workflows, and customer-facing AI experiences.
- 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 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.
- Manually validate AI and product behavior with care, especially where automated tests and evals are insufficient for probabilistic systems.
- Respond rapidly and transparently to bugs, regressions, and customer-impacting issues.
- Collaborate through paired development, design discussion, code review, debugging, and direct technical debate.

## 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.
- 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 agent systems that can reason, retrieve context, call tools, execute actions, handle errors, and operate safely in enterprise environments.
- High agency, extreme ownership, high velocity, customer curiosity, and product judgment.
- Comfort with uncertainty, changing priorities, incomplete requirements, and fast iteration cycles.

## Nice-to-Haves / Technical Areas
- TypeScript / Node.js backend services
- Fastify or similar API frameworks
- React / Next.js customer-facing applications
- Slack and Microsoft Teams applications
- Agent workflow engines and action execution systems
- RAG pipelines, vector databases, embeddings, and retrieval systems
- Knowledge graphs and enterprise knowledge modeling
- ServiceNow, ITSM, monitoring, alerting, and incident management integrations
- AWS services (S3, SQS, Lambda)
- Authentication, authorization, OAuth, SSO, API keys, and RBAC

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**Apply:** https://hotfix.jobs/jobs/e6f494c2-4865-484e-93a9-6b7e2b2ac9be
**Canonical:** https://hotfix.jobs/jobs/e6f494c2-4865-484e-93a9-6b7e2b2ac9be