discernis
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Account Executive
Account Executive About Discernis Discernis builds AI driven document intelligence for high stakes legal work. Because our customers handle privileged and regulated matters that most cloud AI cannot touch, we run on…
AI Engineer (Applied LLM Systems)
Discernis builds AI-driven document intelligence for legal teams, running on-prem and in customer-controlled environments. This engineer leads the core AI systems: designing LLM workflows (agentic orchestration, prompt engineering, retrieval, post-training), owning evaluations/benchmarking, and optimizing self-hosted model serving, primarily in Python with vLLM.
Backend Engineer
Builds and extends the Python/Flask backend services powering Discernis's AI-driven document intelligence platform for legal work, including ingestion/processing pipelines (PDF, Office, OCR), APIs, background tasks, and large-scale search/retrieval. Core stack: Python 3.11+, Flask, SQLAlchemy, PostgreSQL, Elasticsearch, Redis, Docker.
Frontend Engineer
Frontend Engineer at Discernis building the review interface for an AI-driven legal document intelligence product — creating React/TypeScript UIs for viewing, searching, annotating, and verifying large document sets against AI-generated citations. Focus on clarity, speed, accessibility, and handling sensitive legal data.
Infrastructure / DevOps Engineer
Owns the infrastructure running Discernis' AI document-intelligence platform across their cloud, customer-managed cloud accounts, and on-prem/air-gapped customer hardware. Day to day this means packaging the product as reproducible Kubernetes bundles, managing IaC and CI/CD, running GPU-accelerated AI workloads, and building monitoring and security hardening for restricted environments.
Solutions Engineer
Solutions Engineer at Discernis, an AI document-intelligence startup for legal work: you act as the technical lead on enterprise sales to large law firms (demos, security reviews, on-prem/cloud pilots) and then own each pilot through to conversion and post-sale adoption. Core technologies: APIs, cloud and on-prem deployment, security fundamentals, plus Kubernetes/Docker/Linux as a bonus.