Ai Engineer - Rapid Prototyping, Automation & Product Engineering

use VectorDBs for semantic search. Cloud & Infra : Deploy on AWS / GCP with Kubernetes, infra-as-code, CI / CD. Monitoring & Reliability : Build observability into all systems (Prometheus, Grafana, Datadog, OpenTelemetry). Leadership : Mentor engineers, run 1 : 1s, drive planning / execution, and uphold engineering quality. Product Alignment : Apply UI / UX understanding to align product decisions with stakeholder and freelancer needs. Requirements 8+ years in software engineering, with 2–3+ years in leadership roles. Backend expertise in Java / Golang / Python, distributed systems, caching, queues. Database experience : Postgres / MySQL, MongoDB / DynamoDB, VectorDBs. Experience with AI-native workflows : semantic search, AI interviews, fraud detection, workflow automation. Cloud-native deployment experience ( AWS / GCP, Kubernetes, infra-as-code, CI / CD ). Strong UI / UX awareness for stakeholder / product discussions. Proven track record of hands-on coding + leadership / mentorship. Bonus : Experience with marketplaces, payments, or workforce platforms. Why Deccan.Ai? Impact : Define the future of freelancer platforms with AI at the core. Balance : Stay hands-on while building and leading teams. Innovation : Deliver AI-powered features like semantic search, fraud detection, and automated workflows. Scale : Solve distributed systems challenges across onboarding, projects, and payments. Growth : Career-defining opportunity to own the full freelancer lifecycle. At Deccan AI, you’ll architect freelancer-first systems, integrate cutting-edge AI workflows, and lead a team building a platform that transforms how talent connects with opportunity.