Software Engineer, Biggy Engineering

Location: United Kingdom

Department: Research & Development (Division)

Location Type: REMOTE

Employment Type: FULL_TIME

About the Team

What You’ll Do

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 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, 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

• Extremely familiar with agentic coding (Cursor, Claude Code, Codex etc.)
• TypeScript / Node.js backend services
• ITOps domain expertise: change risk, ITSM, and incident prevention use cases
• React / Next.js customer-facing applications
• Slack and Microsoft Teams applications
• Agent workflow engines, Agent-tracing, Langsmith etc.
• RAG pipelines, vector databases, embeddings, and retrieval systems
• Knowledge graphs, agent memory, and enterprise knowledge modeling
• Prompt engineering, context engineering, and tool-use design
• , ITSM, monitoring, alerting, and incident management integrations
• Data ingestion, indexing, synchronization, and unstructured data processing
• S3, SQS, Lambda, and AWS-based service architecture
• Authentication, authorization, OAuth, SSO, API keys, and RBAC

You’ll Thrive Here If

This May Not Be the Right Role If

Why This Role Matters

• Competitive Equity
• Remote-first environment
• Generous PTO where you accrue roughly 25 days per calendar year
• Eight (8) paid holidays throughout the year 
• Comprehensive health benefits where BigPanda covers your premiums for Private Insurance
• UK Pension Scheme through NEST
• #PandaParent support with fully paid leave options
• Family Planning/Fertility Benefit
• Financial planning services
• Employee learning & development budget
• Values-based recognition (Quarterly and Annually)
• Social community & ERG programs
• Flexible work environment along with a work-from-home stipend to support remote work arrangements
• Values-based culture