Skit.ai runs an omnichannel AI collections platform for creditors and agencies, built on a Go and Python backend with Kafka, RabbitMQ and SQS messaging across AWS, GCP and Azure. Engineering-heavy, senior-skewed hiring in India centers on real-time ASR-LLM-TTS voice pipelines and scaling to millions of calls at low latency. A dedicated security hire plus GuardDuty, Defender, Trivy and Checkov point to a push toward continuous cloud hardening.
Skit.ai, founded in 2016 and headquartered in New York, builds an AI platform dedicated to debt collections. It serves creditors, collection agencies and financial institutions, automating consumer conversations from early delinquency through pre-legal recovery. The platform engages consumers over voice, SMS, email and chat, handling tasks like payment reminders, identity verification, promise-to-pay capture and dispute intake, and hands complex cases to human agents. Compliance controls cover contact rules, consent and audit records. The company employs 201–500 people and is privately held.
Skit.ai uses Python and Go, Kafka, RabbitMQ and AWS SQS, PostgreSQL, Redis and DynamoDB, Kubernetes and Terraform across AWS, GCP and Azure, with Datadog, Grafana and Prometheus for monitoring.
Skit.ai's current hiring is in India, weighted toward senior engineering roles, with additional openings in data, operations, security and support.
Projects include a real-time ASR-LLM-TTS voice pipeline, a campaign management engine, RAG retrieval for banking, predictive recovery models, and cross-channel performance dashboards.
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Skit.ai's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
