Blackfluo.ai
Blackfluo. ai is a recruitment technology company that utilizes advanced artificial intelligence to streamline and enhance the hiring process. By automating time-consuming tasks such as research and candidate sourcing, Blackfluo. ai allows recruitment teams to focus on building meaningful connections with clients and candidates. With a comprehensive suite of AI-powered tools, the company aims to revolutionize recruitment strategies, improve efficiency, and deliver exceptional results in hiring across various industries.
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
Blackfluo.ai
Blackfluo. ai is a recruitment technology company that utilizes advanced artificial intelligence to streamline and enhance the hiring process. By automating time-consuming tasks such as research and candidate sourcing, Blackfluo. ai allows recruitment teams to focus on building meaningful connections with clients and candidates. With a comprehensive suite of AI-powered tools, the company aims to revolutionize recruitment strategies, improve efficiency, and deliver exceptional results in hiring across various industries.
📋 Description
• Fully remote position, EU timezone (CET +/- 2hours) • Start date ASAP • Languages: English is mandatory; French is a plus • Strong analytical and problem-solving skills • Excellent communication skills, both verbal and written. • Ability to work independently and collaboratively in cross-functional teams. • Detail-oriented, proactive, and able to manage multiple tasks simultaneously.
🎯 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). • 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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