Full-Stack AI Engineer for Multi-Agent System Overview I'm developing a multi-agent automation system to significantly streamline commercial and HR workflows, aiming for 99.6% automation. Scope of work - Build 4 AI agents for workflow automation - Prospector: Lead qualification utilizing 5 APIs and CRM integration - Matcher: Candidate sourcing with ML scoring from 5 sources - Nurturer: Client engagement with personalized email scheduling - Analyst: Business intelligence for revenue forecasting and opportunity detection - Ensure GDPR compliance, AES-256 encryption, and PII pseudonymization - Orchestrate and deploy using AWS, Docker, PostgreSQL, and Redis/Celery References Mandatory: • Complete autonomy - You'll be the sole developer • Proactive communication - Regular updates, transparency •Results-oriented - Delivery > process • Rigorous documentation - Code + architecture • Attention to detail - Code quality • Reactivity - Quick debugging, adjustments • Collaborative spirit - Work with business team • Teaching ability - Team training Additional information We provide all necessary credentials, CRM and tools access, and AWS dev environment from day 1, along with documentation and regular support. The success metrics include 95% qualification accuracy, 94% matching precision, 45% email response rate, and 87% forecast accuracy, with API costs under €100/month. Company details - Company name: JK - Focused on automating business processes by building AI agents to enhance efficiency. Ideal Candidate - Experience with Python and LangChain - Proficiency with GPT-4 and Claude 3.5 Sonnet - Strong in ML: Embeddings, Prophet, scikit-learn - Familiarity with OpenAI, LinkedIn, Clearbit APIs - Knowledge of PostgreSQL and Vector DB (Pinecone/Chroma) - Skilled in cloud technologies: Docker and AWS (Paris region) - Understanding of security protocols: GDPR, AWS Secrets Manager