Job DescriptionAbout the opportunityAI Engineering builds the shared platform that powers AI across every Xplor product: the agent runtime, model gateway, retrieval, guardrails, evaluations and cost controls. We solve the hard problems once, so product teams can ship AI features quickly and safely.
We're looking for a hands-on Senior Full Stack Engineer who enjoys turning what AI agents can do into software people rely on every day. You'll work across the whole stack, from agent runtime and APIs to retrieval and the interfaces people use to work with agents. You'll partner with product teams to get their agents into production, shape technical direction, mentor others and raise the bar for how we build with AI.
Why this role is exciting- Build the platform, not just a feature. Your work powers AI across a portfolio of products used by more than 130,000 businesses.
- Real agents in production, not demos. Orchestrator agents that hand work to specialist agents, long-running background tasks, and human approval before real-world actions.
- A full retrieval engine. Hybrid vector and keyword search, reranking, and vision models that read PDFs and charts.
- Hard problems at scale. Tenant isolation across thousands of businesses, streaming responses, and making every task faster and cheaper.
- AI-native engineering. We build AI with AI. Coding agents and spec-driven development are part of everyone's daily workflow.
What you'll do- Build reliable agent workflows that combine models, retrieval, tools and human approval, including multi-agent handoffs, long-running tasks and state that persists across steps.
- Improve how documents and business data are ingested and retrieved, and measure answer quality with automated offline and online evaluations.
- Keep customer data safe through tenant isolation, permissions, prompt-injection defences, careful handling of personal data and audit trails.
- Build reusable UI components, SDKs and integrations (including MCP) that product teams can embed in their own apps.
- Design agent interfaces people trust, with streaming responses, clear agent status, human approval steps and accessibility built in.
- Track cost, latency and quality, trace agent runs end to end, and make agents faster and cheaper.
- Work with product teams to turn early ideas into shipped features.
- Lead technical design for major platform features, write clear design docs and set high standards through code review.
- Mentor engineers across AI Engineering and product teams, and help shape how Xplor builds with AI.
- Share on-call for the services you build, supported by our Site Reliability Engineers.
This position has an annual base salary range of $180,000 to $200,000 USD.
This is a fully remote role open to candidates based anywhere in the U.S., excluding Hawaii and Alaska. We'd prefer candidates in the Eastern or Central time zones.
#LI-Remote
QualificationsWhat would make me a good candidate?- 6+ years building and shipping production software, with recent experience at a senior level.
- Strong Python backend experience, ideally with FastAPI, Pydantic and async services.
- Solid TypeScript and React skills, and experience building reusable components or SDKs other teams use.
- Hands-on experience building with LLMs in production, such as tool calling, retrieval-augmented generation (RAG) or agent workflows, and an understanding of how they fail differently from traditional software.
- Experience with retrieval and search, such as vector databases (pgvector or similar), hybrid search, chunking or reranking.
- Good working knowledge of PostgreSQL and data modelling, including performance and migrations.
- Experience building multi-tenant SaaS, with a strong sense of data security, permissions and handling personal information.
- Comfort running what you build on AWS, using infrastructure as code (Terraform or similar), CI/CD and monitoring tools such as Datadog.
- A habit of measuring things: evaluating AI output quality, tracking cost and latency, and using data to make improvements.
- Experience leading technical design, writing clear design docs and mentoring other engineers.
- You use AI coding tools every day, with good judgement about where human review still matters.
It would be great if you also have- Built multi-agent systems, long-running background jobs or human-in-the-loop approval flows.
- Worked with MCP, LiteLLM or Amazon Bedrock.
- Built automated evaluations for LLM or RAG systems (offline and online).
- Experience with prompt-injection defences or AI security.
- Built streaming user interfaces (server-sent events) or accessible, trustworthy AI interfaces.
- Worked in regulated environments such as SOC 2 or PCI DSS.
At Xplor, we believe that the best innovation and ideas happen at the intersection of differences - people of different cultures, generations, disciplines, and lived experiences. So even if you think you don't quite tick all the boxes, we still encourage you to apply.
Additional InformationSome of our perks and benefits are:- Paid Parental Leave benefit programs
- #GiveBackDays/Commitment to social impact - 3 extra days off to volunteer and give back to your local community
- Ongoing dedication to Diversity & Inclusion initiatives such as D&I Council, Global Mentorship Program
- Access to free mental health support
- Flexible working arrangements
Ready to apply?To start your application, please submit your resume, and we will be in touch as soon as we can. Please include the word
"moonshot" at the top of your message to the Hiring Manager so that we know you took the time to read our job ad.
Before you applyTo be considered for employment, you must be legally authorized to work in the country where the role is advertised. This applies to remote roles too. Xplor does not sponsor visas, either at the time of hire or at any later time. We're also not able to offer contractor arrangements or Employer of Record engagements for this position at this stage.
Please apply through our careers portal or external job boards only. We're unable to upload emailed applications, as our process requires you to answer screening questions directly.
We also invite you to check out our Candidate FAQs for more information about our recruitment process xplor.com/recruitment-faqs/.
Interview Recording and Background ChecksAs part of our hiring process, successful candidates will be asked to complete background and identity verification checks. Many of our roles are remote, and to protect both candidates and our business from recruitment fraud, we may record video interviews during the process. We keep any recordings and related data only for as long as the hiring process is active and do not retain them afterwards.
Videos To Watchhttps://www.youtube.com/watch?v=mHyEbLfla-0
