Senior Python Backend & AI/ML Engineer — 7+ years building production systems at scale. MSc in Data Science. Backend Engineering → Designed API architecture sustaining 12,000+ RPS with sub-100ms p99 latency → Architected multi-chain transaction processor: 1.4M+ monthly transactions, 99.95% delivery → Led monolith-to-microservices migration: deploy time from 4 hours to 55 minutes → Drove on-premises-to-AWS migration saving 41% in annual infrastructure costs AI/ML Engineering → Shipped RAG chatbot (LangChain + pgvector): 85% of engineering queries resolved on first response → Built ML document validation pipeline: 50K+ KYC documents/month, 98.7% accuracy → Eliminated $174K/year in vendor costs by replacing external OCR with in-house ML solution Tech stack: Python, FastAPI, Django, PostgreSQL, Redis, Kafka, RabbitMQ, MongoDB, Elasticsearch, LangChain, LangGraph, OpenAI API, RAG, pgvector, AWS, Kubernetes, Docker, Terraform, Prometheus, Grafana, Celery, asyncio, gRPC, GraphQL, WebSocket,
Web3.py Open to Senior Backend Engineer, AI/ML Engineer, and GenAI Engineer roles — London, UK or Remote.