Camunda is the leader in enterprise agentic automation, orchestrating complex business processes, including high-value knowledge work, across agents, people, and systems. By creating production-ready, enterprise-grade agents with built-in governance, Camunda uniquely delivers trusted AI agents for business-critical processes. Over 700 leading innovators like Atlassian, ING, and Vodafone, rely on Camunda to slash time-to-value from months to days, boost operational efficiency, and elevate customer experiences. Camunda was named aVisionaryin the inaugural 2025 Gartner® Magic Quadrant™for Business Orchestration and Automation Technologies (BOAT).
As a fully remote, global company, we’re rewriting the rules of modern business. Named GP Bullhound’s 2024 Top 100 Next Unicorn list, certified as a Great Place to Work, and recognized by Flexa for true flexibility, we’re growing fast and looking for top talent to join our team. If you’re excited to do meaningful work and make real impact, keep reading, this role could be the one you’ve been waiting for.
About the role:
We’re entering a new era of automation, where Agentic AI can automate manual work like never before. At Camunda, we’re building the operating system for this future.
Our Enterprise Agentic Automation Team (EAAT) designs and operates production-grade agentic solutions that automate critical business processes at Camunda while serving as credible proof points for our customers.
As a Senior Engineer in our Enterprise Agentic Automation Team, you will design, build, and operate enterprise-grade agentic AI systems embedded in Camunda-orchestrated workflows. You will turn AI capabilities into reliable, secure, and scalable production systems that run at the core of our organization.
What You Will Do:
Design and implement production-grade agentic orchestration systems combining executable BPMN, Camunda workers/connectors, DMN, and AI components
Design and build AI agents with clearly defined responsibilities, tools, memory strategies, and decision boundaries
Engineer and govern context pipelines (static instructions, dynamic enrichment, RAG, constraints, evaluation signals) to ensure reliable model behavior
Implement structured prompting, output enforcement, human-in-the-loop patterns, and guardrails for safe, controllable execution
Build evaluation frameworks, feedback loops, and testing for deterministic and non-deterministic systems
Operate agents in production (AgentOps): logging, monitoring, alerting, incident response, and continuous improvement
Contribute to production infrastructure standards including CI/CD, environment separation, secrets management, and security fundamentals
What You Will Bring to the Role:
Must Haves:
5+ years experience designing, building, and operating production-grade systems (backend, platform, or full-stack with strong backend depth), including scalable services, integrations, and APIs (Java/Spring or comparable)
Proven AI Engineering experience building, testing and operating LLM-powered systems in production
Hands-on experience with agent frameworks such as LangChain, LangGraph, CrewAI, or similar
Practical experience with context engineering (RAG pipelines, retrieval strategies, structured outputs, evaluation signals)
Demonstrated end-to-end ownership across design, implementation, deployment, and operations
Solid understanding of cloud-native infrastructure and production operations (CI/CD, environment separation, secrets, monitoring, incident response)
Nice to Haves:
Experience with Camunda, BPMN, DMN, or other workflow/orchestration platforms
Experience building reusable internal platforms, shared services, or developer enablement components
Experience working in a Center of Excellence or similar cross-functional transformation environment
Experience with Data Science and Machine Learning
This role is an existing vacancy
#LI-JE1 #LI-Remote C1
What We Have to Offer:
Compensation
We offer competitive, fair, and transparent compensation. Salary ranges are location-based, with Standard and Major markets (global tech hubs) reflecting local competition.
The Annual Total Target Cash (base salary + 100% variable target, where applicable) shown below spans from the minimum in a Standard market to the maximum in a Major market. Final offers depend on skills, experience, and location, and we typically hire in the first half of the range to allow room for growth:
United States: $143,800.00 to $231,900.00
United Kingdom: £90,300.00 to £148,500.00 Singapore: S$178,600.00 to S$267,900.00
If you’re based elsewhere, you’ll be hired via Remote.com (our global employer partner), and your Talent Acquisition Partner will provide a personalized Total Rewards Calculator after your first interview.
Equity: We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP).
Benefits & Perks
We invest in your wellbeing, growth, and ability to connect, along with perks that support you no matter where you’re based. Our benefits are globally designed and locally delivered where applicable.
Remote & Flexible: Work from anywhere with the setup that suits you, home office budget, co-working space support, and flexible time off to recharge when you need it.
In Person Connection: We invest in meaningful face time through our Annual Kickoff (Vienna in 2025, Madrid in 2026!), team offsites, and Camundi Connection Budgets, including contributing to meetups while travelling,, and local gatherings with fellow Camundi.
Health & Wellbeing: Access locally tailored healthcare, Modern Health for global mental wellbeing, and our Live Well Lifestyle Spending Account (LSA), a flexible, global benefit that puts you in control of your whole life, not just work, from: staying active, to caring for family, exploring personal passions, meaningful experiences, and investing i
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