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Remote Knowledge Graph Software Engineer Jobs in Austin, TX

This is a fully remote position What you'll own * The codebase. A full-stack Python + TypeScript ... places software can make a difference, and we are a company where a single engineer can own a ...

Knowledge of the Software Development Lifecycle and software development best practices ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

Senior Software Engineer

Austin, TX · On-site +1

$121.40K - $160.10K/yr

Who We Want A Senior Software Engineer will work closely with Product Managers, Design, and their ... Continue to increase knowledge and understanding of the business and industry at a larger scale to ...

Senior Software Engineer - SAI/SDK

Austin, TX · On-site +1

$121.40K - $160.10K/yr

High-speed interconnect protocol knowledge * Hardware/ASIC architecture understanding * Performance ... This is a remote position for employees residing within the United States. We offer a competitive ...

Software Engineer

Austin, TX · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Software Engineer

Round Rock, TX · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Software Engineer

Georgetown, TX · Remote

$40 - $75/hr

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Sr. Software Engineer I

Austin, TX · Remote

$121.40K - $160.10K/yr

Senior Software Engineer I (Octothorpe) About Invoca: Invoca is the leading AI-powered conversation ... Working experience in a PAAS environment 📍 Location This is a remote-first role. We are ...

Senior Software Engineer

Austin, TX · On-site +1

$121.40K - $160.10K/yr

The Senior Software Engineer within the Platform group will join a tight-knit, cross-functional ... KNOWLEDGE, SKILLS, AND ABILITIES * Strong programming skills in one or more modern languages.

Knowledge of real-time rendering and graphics algorithms as used in AAA games. * Highly organized ... United States or Canada This role is not eligible for Visa Sponsorship. #LI-CB1 #LI-Remote ...

Senior Software Engineer

Austin, TX · On-site +1

$125K - $156.30K/yr

The Senior Software Engineer within the Platform group will join a tight-knit, cross-functional ... KNOWLEDGE, SKILLS, AND ABILITIES * Strong programming skills in one or more modern languages.

We are looking for a Software Engineer (Backend) to join our team! This is an opportunity to have a ... Setpoint has offices in Austin, New York, and Park City, UT and we're currently hiring remote team ...

We are looking for a Software Engineer (Backend) to join our team! This is an opportunity to have a ... Setpoint has offices in Austin, New York, and Park City, UT and we're currently hiring remote team ...

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Showing results 1-20

Remote Knowledge Graph Software Engineer information

See Austin, TX salary details

$62.9K

$146.2K

$203.7K

How much do remote knowledge graph software engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote knowledge graph software engineer in Austin, TX is $146,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $171,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Knowledge Graph Software Engineer, and why are they important?

To thrive as a Remote Knowledge Graph Software Engineer, you need expertise in graph data modeling, proficiency in programming languages such as Python or Java, and a solid understanding of semantic web technologies, often backed by a degree in computer science or a related field. Familiarity with graph databases like Neo4j or Amazon Neptune, query languages such as SPARQL or Cypher, and experience with knowledge representation frameworks are typically required. Strong problem-solving abilities, effective remote communication, and self-motivation are crucial soft skills for this role. These skills ensure the engineer can design, implement, and maintain complex knowledge graph systems, enabling intelligent data connections and supporting scalable, collaborative remote work environments.

How does a Remote Knowledge Graph Software Engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Knowledge Graph Software Engineer, collaboration often happens through virtual meetings, code repositories, and shared documentation platforms. You’ll regularly interact with data scientists, product managers, and other engineers to design and implement scalable graph-based solutions. Clear communication and proactive sharing of updates are essential, as team members may be spread across multiple time zones. Utilizing tools like Slack, Jira, and GitHub, remote engineers ensure alignment on project goals, resolve blockers quickly, and contribute to a cohesive team culture.

What is a Remote Knowledge Graph Software Engineer?

A Remote Knowledge Graph Software Engineer is a software developer who specializes in designing, building, and maintaining knowledge graph systems while working from a remote location. Knowledge graphs are structured representations of data that help in connecting and analyzing information through relationships and semantics. These engineers use technologies like RDF, SPARQL, and graph databases to enable advanced data querying and integration. They often collaborate with data scientists, analysts, and other engineers to solve complex data challenges across various industries. Working remotely allows them to contribute from anywhere, using communication and collaboration tools to stay connected with their teams.
What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Austin, TX? The most popular types of Knowledge Graph Software Engineer jobs in Austin, TX are:
What are popular job titles related to Remote Knowledge Graph Software Engineer jobs in Austin, TX? For Remote Knowledge Graph Software Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Knowledge Graph Software Engineer jobs in Austin, TX look for? The top searched job categories for Remote Knowledge Graph Software Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Knowledge Graph Software Engineer jobs? Cities near Austin, TX with the most Remote Knowledge Graph Software Engineer job openings:
Infographic showing various Remote Knowledge Graph Software Engineer job openings in Austin, TX as of May 2026, with employment types broken down into 1% Internship, 4% As Needed, 91% Full Time, 1% Part Time, and 3% Temporary. Highlights an 10% Physical, 30% Hybrid, and 60% Remote job distribution, with an average salary of $146,227 per year, or $70.3 per hour.

Software Engineer L2

Curative HR LLC

Austin, TX • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

About Curative

Curative is building the future of health insurance with a first-of-its-kind employer-based plan designed to remove financial barriers and make care truly accessible: one monthly premium with $0 copays and $0 deductibles*. Backed by our recent $150M in Series B funding and valuation at $1.275B, Curative is scaling rapidly and investing in AI-powered service, deeper member engagement, and a smart network designed for today's workforce.

Our north star guides everything we do: healthcare only works when people can actually use it. That belief drives every decision we make: from how we design our plan, support our members, to how we collaborate as a team.

If you want to do meaningful work with a team that moves fast, experiments boldly, and cares deeply, Curative is the place to do it. We're growing fast and looking for teammates who want to help transform health insurance for the better.

Summary
We are hiring a forward deployed software engineer to be the technical owner of our care coordination platform - the system our clinical care navigators and clinicians use every day to support the members who need us most. You will sit at the intersection of engineering and clinical operations - embedded with the people who use the software, not insulated from them. You will join clinical team meetings, hear directly what is broken, and ship the fix the same week. You will also be the person watching the dashboards - tracking operational metrics, spotting patterns in how the platform is actually used, and adjusting based on what the data says, not what anyone assumed. You will be the single technical point of responsibility for this service. You will partner with product and clinical stakeholders to turn workflows into shipped software, set the architectural direction, own production, and represent the platform in cross-team discussions.

How we build

At Curative, AI writes most of the code. Engineers direct it. We use agentic AI coding tools as the primary development surface. A senior engineer here routinely runs multiple agents in parallel - one implementing a feature, one resolving review comments, one chasing down a flaky test. The engineers job is to set context, make the decisions the AI can't make, and keep the bar high on what ships. This is not a role for someone who wants to hand-roll every line. It is also not a role for someone who will accept whatever the AI produces. We are looking for the engineer in between: strong enough fundamentals to catch a wrong answer in a few seconds, disciplined enough to review every diff, and ambitious enough to drive several times the output of a traditional IC. Strong systems and architecture thinking is important, as is product taste. This is a fully remote position

What you'll own

  • The codebase. A full-stack Python + TypeScript application with significant domain complexity. You own code review, architectural decisions, and the quality bar. Most commits will be AI-authored, human-directed, human-reviewed. All of them are yours.
  • AI leverage. The internal tooling, prompts, skills, and evals that let one engineer operate a service of this scope. You will extend it.
  • Production. Cloud infrastructure, deploy pipeline, observability, on-call, incident response, and cost.
  • Operational metrics. You watch how the platform performs for its users - not just uptime, but workflow completion rates, navigator efficiency, time-to-resolution, and the other numbers that tell you whether the software is actually helping. You surface what the data shows, propose changes, and close the loop.
  • Stakeholder relationships. You are the engineer in the room with care navigators, clinicians, and ops leads. You translate their pain into scope, push back when a request won't solve the real problem, and build trust by shipping reliably.
  • The roadmap. Co-owning the product plan with clinical and product stakeholders. Sequencing work, flagging what is infeasible, proposing alternatives - and sometimes arguing for the thing nobody asked for yet because you are close enough to the problem
    to see it.
  • Strategy for your surface. You don't just execute a roadmap handed to you - you shape it. You see patterns across clinical feedback, production data, and business goals, and propose what to build next.
  • Integrations. A growing set of connections to other internal services and third-party healthcare systems.
  • The clinical domain. You will not arrive a healthcare expert, but within 90 days you will understand the workflows well enough that every prompt you write is loaded with the right context.

What we're looking for
Foundational skills (non-negotiable)

You need these because you are the last line of defense on what the AI produces. The bar is not "can write it from scratch in an interview" - the bar is "can read a 400-line AI-generated diff and spot the subtle bug in 90 seconds"

  • 5+ years shipping production software. Enough reps that you recognize bad code before you can articulate why.
  • Real fluency in Python and TypeScript. Not "I can read it" - fluent. You will direct work in both every day.
  • Strong SQL and relational database fundamentals. You can read a query plan, spot an N+1, and know when a migration is unsafe at scale.
  • Comfort with operational data. You have built or maintained dashboards, dug into usage metrics to find problems, and used data to argue for or against a product change.
  • Systems thinking. Can sketch a service's architecture on a whiteboard, identify the failure modes, and reason about blast radius.
  • Production cloud experience (AWS, GCP, or equivalent). You have been on-call for something real.
  • Comfort working directly with non-technical stakeholders. You can run a 30-minute workflow review with a nurse navigator, extract the real requirements, and leave them feeling heard - not bulldozed.
  • Sharp written communication. You will spend more time writing prompts, specs, and PR descriptions than writing code.
    Note: prior healthcare experience is not required.

AI-first working style (also non-negotiable)

  • You already use Claude Code, Cursor, Codex, or equivalent as your primary development tool - not as a side autocomplete.
  • You have opinions about how to structure prompts, when to split work into subagents, and how to keep AI output from drifting.
  • You review every AI-generated diff. You do not merge on vibes.
  • You treat the AI as a junior engineer with infinite throughput: high leverage, zero judgment, and needs supervision.
  • You enjoy building tooling that makes AI more effective on your codebase - skills, evals, fixtures, integrations.
  • You see AI leverage as what makes it possible for one engineer to own a full product surface and stay close to users - not as a reason to stay heads-down in a terminal.

Strongly preferred

  • A portfolio of AI-assisted work - skills you wrote, agents you built, automations you shipped.
  • Experience being the single owner of a non-trivial service in production.

Why this role
Healthcare is one of the highest-leverage places software can make a difference, and we are a company where a single engineer can own a service that thousands of members and clinicians depend on. The scope is large, the problems are real, and the operating model - AI-first, human-directed, shipped daily - is the one you have been waiting for. Your day might span sitting in on a clinical case review, debugging a production issue, digging into operational metrics to understand why navigator caseload spiked, demoing a new workflow to an ops lead, or setting the technical strategy for your platform. If you have been looking for a role where you own the full loop - problem discovery through production - and AI-first isn't a buzzword but the actual way work gets done, this is it.

Perks & Benefits 

  • Curative Health Plan (100% employer-covered medical premiums for you and 50% coverage for dependents on the base plan.)

    • $0 copays and $0 deductibles (with completion of our Baseline Visit )

    • Preventive and primary care built in

    • Mental health support (Rula, Televero, Two Chairs, Recovery Unplugged)

    • One-on-one care navigation

    • Chronic condition programs (diabetes, weight, hypertension)

    • Maternity and family planning support

    • 24/7/365 Curative Telehealth

    • Pharmacy benefits 

  • Comprehensive dental and vision coverage

  • Employer-provided life and disability coverage with additional supplemental options

  • Flexible spending accounts 

  • Flexible work options: remote and in-person opportunities 

  • Generous PTO policy plus 11 paid annual company holidays

  • 401K for full-time employees

  • Generous Up to 8-12 weeks paid parental leave, based on role eligibility.