Discernis
1-10 EmployeesActively Hiring
- Growing fastShowed strong hiring growth in the past month
Jobs at Discernis
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Engineering
Software Engineer
NewPosted 1 day ago
Software Engineer
- Week 1: small, self-contained tickets to learn the codebase
- Month 1: you own an epic
New York City
$120k – $150kEngineering
Senior Software Engineer
NewPosted 1 day ago
Senior Software Engineer
- Own the architecture and roadmap for your area, then ship it
- Review code and set engineering standards with our Head of Engineering
New York City
$150k – $180kEngineering
Founding AI Engineer
NewPosted 1 day ago
Founding AI Engineer
- ~40% agentic systems: orchestration, tool use, and reliability
- ~20% inference: serving and optimization, including small models on constrained on-prem hardware
In office • New York City
$170k – $250kEngineering
Frontend Engineer
NewPosted 3 months ago
Frontend Engineer
- Build and improve the review interface where users read, search, and annotate large document sets
- Implement document viewing, citation, and navigation experiences that make AI generated results easy to verify against source material
In office • New York City
Engineering
Backend Engineer
NewPosted 3 months ago
Backend Engineer
- Build and extend core backend services that power document ingestion, processing, and analysis
- Build and maintain the APIs used by our frontend and internal AI services
In office • New York City
Engineering
AI Engineer (Applied LLM Systems)
NewPosted 3 months ago
AI Engineer (Applied LLM Systems)
- Design and build new AI powered workflows that solve real problems for legal teams, using whatever gets the best result: agentic and multi step orchestration, prompt engineering, retrieval, and post-training
- Improve the quality, reliability, latency, and cost of existing workflows using that same full ...
In office • New York City
Engineering
Infrastructure / DevOps Engineer
NewPosted 3 months ago
Infrastructure / DevOps Engineer
- Package and ship our platform as a reproducible Kubernetes based bundle that installs cleanly on customer controlled and on premises hardware
- Operate and improve Kubernetes clusters running both application services and GPU accelerated AI workloads
In office • New York City