4 staff full stack engineer jobs at 3 companies in Vandergrift, PA

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Staff Full Stack Engineer
Pittsburgh, Pennsylvania, United States
OnsiteFull Time
Gather AI
Gather AI: Physical AI platform for logistics offering autonomous-drone and vision-based warehouse inventory intelligence.
8+ YOE8+ years building production software; deep hands-on experience with Python, Go, Node.js, PostgreSQL, Kubernetes on Azure, APIs/integrations, CI/CD, observability, and customer-facing technical collaboration.
Python, Go, Node.js, PostgreSQL, Kubernetes, Azure, REST, protobuf, OAuth, SFTP, IPSec, Claude
3mo
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Staff Software Engineer (Pittsburgh)
Pittsburgh, Pennsylvania, United States
$210k-$260k/yr HybridFull Time
Gray Swan AI
Gray Swan AI: Private AI security helping enterprises and frontier labs test, monitor, and protect AI models and agents.
Full-time, senior full-stack engineer with solid frontend and backend experience; proficient in TypeScript/JavaScript, frontend frameworks (React, Vue, or Svelte), and backend APIs; familiar with MongoDB and cloud deployments.
TypeScript, JavaScript, Svelte, React, Vue, Node.js, FastAPI, MongoDB, Cloud Platforms
2mo
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Staff AI Research Engineer
New York or Pittsburgh
$221k-$331k/yr OnsiteFull Time
Duolingo
DuolingoNasdaq: DUOL: Public U.S. education technology providing free and subscription-based language learning and English proficiency testing.
Proven AI research engineering experience across LLMs, bandits, and ML stack (feature engineering, training, fine-tuning, RL, evaluation, deployment, monitoring); leadership and mentoring experience; advanced degree or equivalent experience.
LLMs, bandit models, large-scale neural network models
2mo
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Staff AI Research Engineer
New York City or Pittsburgh
$221k-$331k/yr OnsiteFull Time
Duolingo
DuolingoNasdaq: DUOL: Public U.S. education technology providing free and subscription-based language learning and English proficiency testing.
Proven AI/ML research engineering experience with LLMs and bandit models; experience across ML stack including feature engineering, training/fine-tuning, reinforcement learning, deployment, monitoring; leadership and mentoring experience; advanced degree or equivalent.