At a Glance
- Tasks: Lead the architecture for chat back-end services and mentor engineers in a collaborative environment.
- Company: Elastic, a leading Search AI company transforming data into actionable insights.
- Benefits: Competitive pay, health coverage, flexible schedules, generous vacation, and parental leave.
- Why this job: Shape the future of AI with cutting-edge technology and make a real impact.
- Qualifications: 10+ years in SaaS services, expertise in Node/TypeScript, and strong communication skills.
- Other info: Join a diverse team that values different perspectives and fosters growth.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role: Elastic is building Agent Builder, a conversational platform that connects production agents to real customer business data in Elasticsearch. As a Principal Engineer, you will set technical direction and drive the Kibana backend architecture for the agentic platform: streaming APIs, secure tool execution, session and memory persistence, retrieval and citations contracts, and evaluation telemetry. Your influence will extend beyond a single feature, shaping service boundaries, reliability posture, and standards that other solutions build on.
If this sounds interesting, we would love to hear from you! Please include whatever info you believe is relevant: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc.
What You Will Be Doing:
- Own the architecture for chat back-end services (Node/TypeScript), defining service boundaries, data contracts, and scalability targets.
- Lead cross-team design reviews; author ADRs and RFCs that become reference standards for AI-chat and ingestion work.
- Build and harden event-driven pipelines that capture chat telemetry, evaluation traces, and LLM feedback loops; expose them via self-service analytics endpoints.
- Champion reliability—define error budgets, introduce testing strategy, and steer incident-response playbooks for conversational workloads.
- Mentor senior and junior engineers; grow their system-design skills and foster a high-trust, low-ego culture.
- Partner with Product, Design, and Data Science to translate ambiguous goals (e.g., “multi-step reasoning with tool calling”) into incremental, testable action items.
- Represent Elastic in open-source AI communities (LangGraph/LangChain, MCP/A2A) through design proposals, blog posts, and conference talks.
What You Bring:
- We appreciate articulate and “low ego” people who want to grow as part of a team.
- 10+ years building distributed, production SaaS services—at least 5 years leading large-scale Node/TypeScript or similar back-end stacks.
- Deep expertise in distributed systems fundamentals—shard routing, consensus, eventual consistency, back‑pressure, and circuit‑breaker patterns.
- Demonstrated success designing high‑throughput, low‑latency APIs (gRPC / REST / WebSocket)—including streaming responses and resumable sessions.
- Hands‑on experience with observability: OpenTelemetry, log/metric pipelines, synthetic checks, and SLO dashboards.
- Exposure to LLM tooling (LangChain/LangGraph, OpenAI function calls, vector‑search, RAG orchestration) and enthusiasm for advancing GenAI architectures.
- Clear, persuasive written communication—your ADRs and RFCs set the standard others emulate.
- Nice‑to‑have: contribution history to Kibana or other large SPAs; ability to prototype front‑end dashboards when it unblocks back‑end work.
Additional Information - We Take Care of Our People:
- As a distributed company, diversity drives our identity.
- Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life.
- Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
- We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary.
- Health coverage for you and your family in many locations.
- Ability to craft your calendar with flexible locations and schedules for many roles.
- Generous number of vacation days each year.
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
- Up to 40 hours each year to use toward volunteer projects you love.
- Embracing parenthood with a minimum of 16 weeks of parental leave.
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals.
To request an accommodation during the application or the recruiting process, please email. We will reply to your request within 24 business hours of submission.
Principal Software Engineer - Agent Builder - Workplace AI - Search in London employer: Elasticsearch B.V.
Contact Detail:
Elasticsearch B.V. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Software Engineer - Agent Builder - Workplace AI - Search in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio of your projects, especially those related to AI and distributed systems. Share it during interviews to demonstrate your expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Node/TypeScript knowledge. Practice coding challenges and system design questions to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Elastic. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Principal Software Engineer - Agent Builder - Workplace AI - Search in London
Some tips for your application 🫡
Show Off Your Skills: When you're applying, make sure to include all the relevant info that showcases your expertise. This could be your resume, GitHub profile, code samples, or even blog posts. We want to see what you've been up to!
Tailor Your Application: Don’t just send a generic application! Take a moment to tailor your cover letter and CV to highlight how your experience aligns with the role of Principal Software Engineer. We love seeing how you connect your skills to what we do at Elastic.
Be Clear and Concise: We appreciate clear communication, so make sure your written application is easy to read and straight to the point. Avoid jargon unless it’s necessary, and focus on conveying your ideas effectively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Elasticsearch B.V.
✨Know Your Tech Inside Out
Make sure you’re well-versed in Node/TypeScript and distributed systems fundamentals. Brush up on shard routing, consensus, and circuit-breaker patterns. Be ready to discuss your past experiences with high-throughput APIs and observability tools like OpenTelemetry.
✨Showcase Your Leadership Skills
As a Principal Engineer, you'll be expected to lead design reviews and mentor others. Prepare examples of how you've guided teams in the past, especially in creating architecture standards or improving system designs. Highlight your ability to foster a collaborative, low-ego culture.
✨Prepare for Real-World Scenarios
Expect questions that test your problem-solving skills in real-world situations. Think about how you would approach multi-step reasoning tasks or handle incident responses. Practise articulating your thought process clearly and concisely.
✨Engage with the Community
Elastic values contributions to open-source communities. If you have experience with LangGraph or LangChain, be prepared to discuss your involvement. Bring along any relevant blog posts or design proposals to showcase your passion for advancing GenAI architectures.