Senior Full Stack Engineer

Xplor Education; Minnesota; Remote; USD 180,000 - 200,000; Full time

Benefits offered by this job

Paid Parental Leave

Volunteer days

Diversity & Inclusion

Mental health support

Flexible work

Job summary

Xplor Technologies is hiring a Senior Full Stack Engineer to build and scale the AI-driven agent platform. You’ll work across the stack, integrating agent runtimes, retrieval, and human approval workflows, partnering with product teams to ship robust AI features.

You will mentor engineers, design major platform features, and improve performance while practicing secure, scalable multi-tenant SaaS in a fully remote U.S. role.

Qualifications

• 6+ years shipping production software, senior level experience.
• Strong Python backend with FastAPI, Pydantic and async services.
• Solid TypeScript and React skills with reusable components.
• Hands-on with LLMs in production, tool calling and RAG.
• Experience with vector databases or hybrid search methods.
• Good PostgreSQL data modeling, migrations and performance.
• Experience building multi-tenant SaaS with strong data security.
• Comfort with AWS, IaC (Terraform), CI/CD and monitoring (Datadog).
• Habit of measuring AI output quality, cost and latency; data-driven improvements.
• Experience leading technical design and mentoring engineers.
• Frequent use of AI coding tools with sound human-review judgment.

Responsibilities

• Build reliable agent workflows combining models, retrieval, tools and human approval.
• Improve ingestion and retrieval of documents and data; evaluate answer quality.
• Ensure data safety with tenant isolation, permissions and audit trails.
• Design reusable UI components, SDKs and integrations for product teams.
• Build streaming interfaces with clear agent status and human approval steps.
• Track cost, latency and quality; end-to-end tracing of agent runs.
• Collaborate with product teams to ship features.
• Lead platform feature design and code reviews; raise engineering standards.
• Mentor engineers and participate in on-call rotations.
• Work with Site Reliability Engineers to support services.

Skills

Python backend

FastAPI

Pydantic

TypeScript

React

LLMs in prod

Retrieval & search

PostgreSQL

Multi-tenant SaaS

AWS & Terraform

CI/CD & Datadog

Technical design

AI coding tools

Tools

pgvector

Terraform

Datadog

AWS

Job description

Company Description

Xplor Technologies powers the experiences at the heart of everyday life. Through modern vertical software, embedded payments, and AI-powered capabilities, we help businesses in fitness, recreation, golf and club, field services, laundry, education, and other membership-based and service-based industries simplify operations, uncover insights, and elevate customer and member experiences.

Job Description

About the opportunity

AI 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

Qualifications

What 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 Information

Values and Life at Xplor

Our five core values guide us from how we hire and recognise our team members to how we interact with our customers day to day:

• Find a better way
• Do the right thing
• Say it straight
• Win together
• Own the outcome

If these values sound like you, and describe people you want to work with, you will thrive at Xplor.

As an Xplorer, you will be part of a global network of talented colleagues who will support your success. We look for commonalities and shared passions and give people the tools they need to deliver great work and grow at speed.

Some 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

Interview Recording and Background Checks

As 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.

EEO and Artificial Intelligence

We believe in transparent hiring. We use an applicant tracking system with artificial intelligence‑enabled features to support our recruitment process, but our recruitment team makes all hiring decisions after human review. We do not rely on artificial intelligence to make final hiring decisions. Find our Candidate AI Usage guidelines here.

Xplor is proud to be an Equal Employment Opportunity employer. We're dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability, veteran status and age. We encourage applications from all sectors of the community. All Information will be kept confidential according to EEO guidelines.

Xplor is committed to fully including all qualified individuals. In keeping with our commitment, Xplor will take steps to ensure people with disabilities receive reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact us via [email protected]

We make it a priority to respond to every applicant.