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Full-Stack Software Engineer

8/14/2026
AUSTIN, TX

Who this role is for: This is our core engineering role for builders early in their careers, with 1-5 years of professional experience. You'll ship well-scoped features across our stack with mentorship from senior engineers, and grow fast by changing real code.

About Savo

Savo is building the world's first Savo Human Intelligence Platform™, capturing people's unfiltered words in real time and transforming them into actionable insights. Our AI-powered platform conducts real-time, structured narrative interviews using intelligent voice agents. A multi-agent system extracts behavioral and cognitive signals from spoken language and translates them into scored, evidence-backed intelligence. We replace intuition and anecdote with science-backed human intelligence.

The Role

We're looking for a Full-Stack Software Engineer to help build the platform that captures human intelligence at scale. You'll work hands-on across our entire stack: React/TypeScript on the front end, FastAPI and PostgreSQL on the backend, and a real-time voice pipeline built on LiveKit - all deployed on AWS. You'll ship the features and customer solutions that make Savo work.

This is a build-and-learn role. You'll close real tickets in the real codebase from your first week, and you'll earn deep context on how the platform works by changing it. You'll write code, fix bugs, and iterate quickly, with code review and mentorship from senior engineers who will help you level up fast. You'll also work on the AI systems at the heart of the product: building and improving evals, tracing model behavior, working with prompts and structured outputs, and helping ensure our multi-agent systems are reliable in production. Over time, there's room to grow toward the science side of what we do: the NLP and measurement models that turn raw conversation into scored, evidence-backed signal. What we build is a scientific measurement instrument, not just software. The signals it produces have to be trustworthy and defensible.

You'll do it while working with AI coding tools that are fundamentally changing what small teams can accomplish, and help figure out what “engineering” means in that world.

This role is based in Austin, TX, with occasional travel (5-10%) for customer visits.

What you'll do

BUILD ACROSS THE STACK
  • Ship features in both our front-end (React/TypeScript) and back-end (FastAPI, PostgreSQL) repositories
  • Implement well-scoped components and features as part of larger designs, moving quickly from ticket to shipped code
  • Develop and integrate APIs and do database schema work, with guidance on the trickier calls

SHIP CUSTOMER SOLUTIONS
  • Build and improve the solutions customers run on Savo: Signal Event™ interviews, the participant conversation experience, and the delivery of results
  • Understand the customer's problem and help make the platform solve it well

OWN QUALITY
  • Write tests, participate in code reviews, and help keep the codebase healthy
  • Debug across the stack and see issues through from report to fix
  • Learn our workflow: local development with Docker, our branching and pull-request conventions, and our CI/CD pipeline

GROW
  • Build context fast and take on more ownership over time
  • Lean into the measurement, data science, and AI engineering side of the platform as you're ready, working alongside our data scientists

What we're looking for

  • 1-5 years of professional software engineering experience (strong internship or co-op experience counts)
  • A degree in computer science or a related field, or equivalent practical experience
  • Working proficiency in at least one modern language (Python, TypeScript/JavaScript, or similar), and eagerness to become fluent across our stack
  • Some exposure to both front-end (React or similar) and back-end (any web framework) development
  • Familiarity with relational databases and version control (Git)
  • A bias toward shipping: you'd rather get something working and iterate than wait for perfect
  • An AI-native programmer fluent across CLI, IDE, and autonomous agent workflows (e.g., Claude Code, Grok Bot, Cursor, Codex, etc.) and how it’s changing the craft
  • Interest in AI engineering with LLM-powered systems, including evals, prompting, structured outputs, model behavior, or agent workflows

NICE TO HAVE
  • Experience with FastAPI, PostgreSQL, Redis, Docker, or AWS
  • Exposure to real-time systems, voice, or LLM-powered applications
  • Interest in NLP, measurement, psychometrics, or data science
  • Interest in building MLOps and LLMOps practices

The Core Four

Whatever the role, every Savoan is measured against four core competencies that reflect our values. Role-specific skills matter too, but they're not a substitute for these.

  • Curiosity: you habitually ask why, hold strong opinions, and stay genuinely open to overturning them.
  • Adaptability: you're energized by change, and do your best work when the goal, the spec, or the priority shifts underneath you.
  • Judgment: you thrive in ambiguity, structuring unfamiliar, poorly bounded problems and making the right calls.
  • Drive: : you make things happen: taking initiative on what matters and owning delivery, without being chased.

Benefits

  • The opportunity to shape the future of Savo Human Intelligence Platform™ at an early, high-growth startup
  • Competitive salary and equity package
  • Comprehensive health, dental, and vision insurance
  • Flexible work arrangements
  • Professional development budget for conferences and continuing education
  • A collaborative, innovative environment with direct impact on product direction
  • Regular team events and company retreats
  • Paid time off and company holidays
  • 401(k) retirement plan

Equal opportunity

At Savo, we're committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds, experiences, and perspectives who are excited about our mission. Savo is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.

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