Teams at HMBL

Build and ship backend systems for an early-stage AI/LLM startup: design and implement large-scale web services in Python/Django, optimize database and backend performance, work with distributed systems (Kafka, Cassandra, Redis, Elasticsearch), deploy on AWS, and own projects end-to-end in production.

Source, engage, and qualify technical candidates using LinkedIn, GitHub, X‑Ray, and other tools. Build pipelines for engineering and technical leadership roles, run outreach campaigns, perform initial screening, document candidate details in ATS/CRM, and partner with recruiters to meet client hiring timelines while improving sourcing strategies.