Pragmatike
Pragmatike is a talent recruitment company that specializes in connecting businesses with top-tier remote tech professionals. With a streamlined hiring process that promises delivery within 48 hours, Pragmatike offers access to a global pool of over 10,000 vetted specialists, ensuring quality and fit for every client. The company prides itself on its human-centric approach to recruitment, avoiding AI-driven methods to guarantee precision in matching clients with suitable candidates, ranging from developers to product managers and designers.
AI Software Engineer
February 12
Ansible
AWS
Cloud
Docker
Google Cloud Platform
Grafana
JavaScript
Kubernetes
Next.js
Node.js
Postgres
Prometheus
Python
PyTorch
Terraform
Go
Pragmatike
Pragmatike is a talent recruitment company that specializes in connecting businesses with top-tier remote tech professionals. With a streamlined hiring process that promises delivery within 48 hours, Pragmatike offers access to a global pool of over 10,000 vetted specialists, ensuring quality and fit for every client. The company prides itself on its human-centric approach to recruitment, avoiding AI-driven methods to guarantee precision in matching clients with suitable candidates, ranging from developers to product managers and designers.
📋 Description
• Fully remote, EU timezone (CET +/- 2hours) • Start date: ASAP • Languages: English is mandatory; French is a plus • Exciting opportunities to work on ambitious projects in a dynamic and flexible environment.
🎯 Requirements
• Development of an autonomous framework for the extraction and processing of legal and regulatory documentation: LangChain/LangGraph, AI Agents, OCR, API design based on existing official databases (EurLex, Legifrance, etc. • Development of a framework for annotating legal documentation and vector storage with relation graph: LangChain/LangGraph, AI Agents, Postgres, NetworkX. • Development of a legal reasoning framework: LangChain/LangGraph, explicit reasoning models. • Exposing the legal engine via API (extraction, indexing, reasoning) • Inference of models on clusters (Mistral, Llama, Moshi, TTS, etc.): PyTorch, CUDA, IaaS. • Development of high-level application layers (use cases in legal tech): Python/Go, Next.js, Node (open to frameworks, but nothing exotic). • DevOps Responsibilities: • Infrastructure Management (cloud, on-prem): AWS, GCP, Fluidstack. • Automation of deployment and environments: Terraform, Ansible, CI/CD. • Container orchestration: Docker, Kubernetes. • Monitoring and security: Prometheus, Grafana, IAM.
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