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Antithesis

Applied AI Software Engineer

Antithesis is hiring an Applied AI Software Engineer in Vienna, United States. It pays $155k-$185k a year and Level rates it ; you can apply on Antithesis.

Level's read on this job

  • On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions LangChain and Gong among its tools and skills.
  • Level classes it as a mid-level role.
  • Antithesis has 21 other open roles on Level.

AI in this role

LangChainGong

About Antithesis

We’re on a mission to redefine how modern distributed systems are tested and released. Our platform is trusted by engineering teams who demand rock-solid reliability, scalable performance, and deep technical visibility. Our platform doesn’t just assure system correctness and reliability, it exists because developers need something better. If you’ve ever experienced the pain of a production outage, had a bad week on-call, or had a release delayed by weeks because of one killer bug – you’ll understand exactly why we’re doing what we do. If you're passionate about developer-first products, system resilience, and correctness, we’d love to talk.

About the Role

We’re hiring an Applied AI Software Engineer to build AI-native products to help our go-to-market and marketing teams.

You’ll work at the intersection of software engineering, applied AI, data, and GTM operations.

What You’ll Do

  • Work directly with Sales, Marketing and RevOps to understand how they work, where they get stuck, and how they could do more with technology.

  • Design, build, and ship full-stack products that use AI to help non-technical teams get work done.

  • Build everything from lightweight agent workflows and automations to production applications for research, enrichment, account scoring, and other GTM problems.

  • Make pragmatic build-versus-buy decisions. The right solution might use an existing tool, a reusable agent skill, a custom integration, or a full application.

  • Partner with RevOps to integrate with the systems that GTM teams use like Salesforce, Marketo, and Gong.

Why Join Us?

  • Join a collaborative, kind team supporting a rapidly-growing sales organization.

  • Work with the resources - tools, teammates, and world-class experts - to do portfolio-worthy work.

  • Use and explore AI in an environment that does not tolerate workslop.

Preferred Qualifications

  • 4+ years of professional software engineering experience, including independently shipping and operating production systems.

  • Experience shipping an LLM-powered product, feature, or workflow for real users. You understand the difference between an impressive prototype and a system people can depend on.

  • Experience working directly with non-technical users to understand their workflows, test ideas, and improve products through feedback.

  • Experience integrating with business systems such as Salesforce, HubSpot, Gong, Slack, or data-enrichment platforms.

  • Strong product and engineering judgment. You can move quickly when the problem calls for an experiment and build for reliability when the solution becomes business critical.

Our current stack for internal GTM applications includes TypeScript, React, LangChain, and AWS. Experience with these tools is helpful, but we care more about strong engineering fundamentals and the ability to learn.

How we rate this

Applied AI Software Engineer at Antithesis rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LangChainGong

Also common in software engineer jobs at this level

Pay

This job starts at
$155k
Typical software engineer job
$167k

This posting starts 7% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. What's a project where you used LangChain hands-on?
  2. Walk me through how you've used Gong in your day-to-day work.
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: LangChain and Gong. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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