ZipRecruiter

Log In

1

Slack Software Engineer Jobs in Austin, TX (NOW HIRING)

Zello Inc

Applied AI Engineer

Austin, TX · On-site

Integrated AI tools with Zello's existing systems (Slack, Jira, HubSpot, Snowflake) via APIs, with ... You have 2-5 years of professional experience in software engineering, AI engineering, or a related ...

AgileEngine

QA/Support Engineer ID80988

Austin, TX · On-site

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and ... GitHub, Slack, and JIRA. This is a 3-month contract engagement with potential for extension ...

AgileEngine

Full Stack Engineer ID80989

Austin, TX · On-site

... GitHub, Slack, and JIRA . - Strong communication and interpersonal skills. - Excellent attention to detail and commitment to software quality. - Strong software engineering foundation. - Upper ...

GoodLeap

Senior AI Solutions Engineer

Austin, TX · On-site

$170K/yr

GoodLeap is a technology company delivering best-in-class financing and software products for ... Experience automating tasks in Slack, Zoom, Atlassian tools, or Salesforce. * Exposure to AI/ML ...

Braze

Senior Lead Systems Engineer, AI & Automation

Austin, TX · On-site

$103K - $141K/yr

... such as Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other critical business ... We're looking for someone who enjoys solving business problems through software, APIs, automation ...

next page

Showing results 1-20

All JobsSlack Software Engineer JobsSlack Software Engineer Jobs in Austin, TX

Slack Software Engineer information

See Austin, TX salary details

$62.9K

$146.2K

$203.7K

How much do slack software engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for slack 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 is a Slack software engineer?

A Slack Software Engineer is responsible for designing, developing, and maintaining software features for Slack’s communication and collaboration platform. They work with programming languages like JavaScript, Python, or Java and use frameworks such as React or Node.js. Their role involves solving technical challenges, optimizing performance, and contributing to Slack’s overall user experience. Additionally, they collaborate with product managers, designers, and other engineers to build reliable and scalable solutions.

What are the key skills and qualifications needed to thrive in the Slack software engineer position, and why are they important?

To thrive as a Slack Software Engineer, you need strong programming skills in languages like Java, Python, or JavaScript, solid understanding of distributed systems, and a degree in Computer Science or related field. Familiarity with modern development tools, cloud platforms (such as AWS or GCP), and experience using or contributing to large-scale SaaS applications are typically expected. Excellent problem-solving abilities, clear communication, and effective teamwork distinguish top candidates in this position. These skills ensure you can contribute to building reliable, scalable features while collaborating efficiently within a fast-paced and innovative engineering environment.

What does a typical workday look like for a Slack software engineer?

As a Slack Software Engineer, your day often begins with team stand-up meetings, followed by focused coding sessions to develop new features or address technical debt. You’ll regularly collaborate with product managers, designers, and fellow engineers through code reviews, design discussions, and sprint planning to ensure the platform meets user needs and maintains high reliability. Troubleshooting issues, responding to incidents, and iterating on feedback are integral parts of your routine. This environment emphasizes cross-functional teamwork and continuous learning, allowing engineers to have meaningful input on both technical and product decisions.

What are the most commonly searched types of Slack Software Engineer jobs in Austin, TX?

The most popular types of Slack Software Engineer jobs in Austin, TX are:

What are popular job titles related to Slack Software Engineer jobs in Austin, TX?

For Slack Software Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Slack Software Engineer jobs in Austin, TX look for?

The top searched job categories for Slack Software Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Slack Software Engineer jobs?

Cities near Austin, TX with the most Slack Software Engineer job openings:

Slack Software Engineer jobs near you
Infographic showing various Slack Software Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $146,227 per year, or $70.3 per hour.

Applied AI Engineer

Zello Inc

Austin, TX • On-site

Full-time

Re-posted 29 days ago

Job description

IMPORTANT: Please be aware, scammers may try to impersonate Zello by reaching out regarding job opportunities. We will never ask you for bank account information, checks, or other sensitive information as part of our hiring process. All correspondence will come from the zello.com email domain. If you're unsure, please email recruiting@zello.com with questions.
About Zello
Zello is a voice-first communication platform, powered by our industry-leading push-to-talk technology, to improve collaboration and productivity for desk-less workers. With over 175+ million users, we're the #1 rated push-to-talk app in the world, delivering 9 billion (yes, with a B) messages a month.
At Zello, our company values are at the heart of what we do everyday. We're proud to serve the frontline, we're privileged to connect people in times of crisis across the globe, and we're honored to support first responders.
And this is where you come in.
The AI & Data team has more high-value AI use cases than capacity to build them. Today, the team leads agent development directly alongside many other responsibilities, and this work needs a dedicated builder. This hire will be one of the first few Applied AI Engineers at Zello, responsible for taking AI agents from prototype to production and then owning their ongoing health: monitoring quality, managing human reinforcement workflows, and driving continuous improvement.
After a successful first year, you will
  • Shipped at least 3 production-grade AI agents within your first 90 days that internal teams actively use (Slack-integrated agents, workflow automations, data-driven assistants)
  • Built evaluation harnesses for deployed agents with automated quality scoring and regression detection
  • Integrated AI tools with Zello's existing systems (Slack, Jira, HubSpot, Snowflake) via APIs, with proper logging and monitoring in place
  • Established reusable code patterns and component libraries that make future agent development faster
  • Taken ownership of deployed agent operations: monitoring performance, overseeing human reinforcement workflows, triaging failures, and driving measurable improvement in agent quality over time
  • Independently scoped and shipped AI tools for new use cases, whether identified by stakeholders or discovered on your own

What you'll do
  • Build AI agents and automations end-to-end: from scoping the use case through deployment and ongoing maintenance
  • Write production Python code that integrates LLM APIs (prompt construction, response handling, context management, tool use) into real workflows
  • Connect AI tools with Zello's systems (Slack, Jira, HubSpot, Snowflake) through APIs, handling authentication, rate limits, error cases, and logging
  • Monitor deployed agents in production: track quality metrics, triage failures, and ship improvements based on real usage data
  • Manage human reinforcement operations: review agent outputs, maintain feedback loops, and tune agent behavior based on reinforcement signals
  • Build and maintain evaluation harnesses that catch regressions and measure agent quality programmatically
  • Create reusable components, patterns, and documentation that raise the bar for future development on the team
  • Communicate clearly with technical and non-technical stakeholders about what you've built, what's working, and where things need attention

Who you are
  • You have 2-5 years of professional experience in software engineering, AI engineering, or a related technical role. You're past the point of needing to learn basic professional work habits, but you haven't calcified into a single way of doing things.
  • You've written production Python and can point to real things you've built with it: tools, integrations, automations, shipped products. Not just notebooks or coursework.
  • You understand LLM APIs at a practical level. You can construct prompts, manage context windows, reason about token economics, and work with tool-use patterns.
  • You decompose messy problems into clean components with well-defined interfaces. When you describe a system you've built, people can follow the logic because you think in terms of abstractions, dependencies, and failure modes.
  • You've integrated systems via APIs before. You can read API docs, handle auth, manage rate limits, and deal with the inevitable edge cases of real-world integrations without getting stuck.
  • You have a quality instinct. You naturally ask "how do I know this is working?" and "how will I know when it breaks?" You write tests and build monitoring because you care about what happens after you ship, not because someone told you to.
  • You're comfortable with operational ownership. You don't treat deployment as the finish line. You monitor what you build, notice when things drift, review agent outputs, and do the sometimes unglamorous work of keeping AI systems healthy in production.
  • You pick up new frameworks, APIs, and domains quickly. You can point to examples of going from zero to productive in an unfamiliar area.
  • Your code is clean and documented. Other people can read it, understand it, and extend it without needing a walkthrough from you.

This role is not
  • A research role. We're building on top of foundation model APIs, not training models or publishing papers.
  • A data engineering role. The existing team covers data infrastructure. You'll consume data, not build pipelines.
  • A DevOps or infrastructure role. You'll deploy your own agents, but you won't be managing servers or building CI/CD from scratch.
  • A solo project. You'll work closely with the Data & AI team and cross-functional stakeholders who use what you build.

We hire for potential, passion for our mission, and a knack for solving difficult problems over checking every qualification box. We have competitive pay, equity with significant upside, and intentionally design our benefits to encourage healthy and well-balanced employees, flexible schedules and time off. We even offer a sabbatical after every five years of service so you're able to pursue and enjoy what matters most to you. And of course, we wouldn't be a technology company without a ping-pong table and free snacks in our break room. Join us!
Zello provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
All Zello personnel are required to comply with defined security, privacy, and compliance requirements applicable to their role along with requirements that are applicable to all Zello personnel.

Apply