AI & Distributed Systems Engineer (Python / LLMs / Go)
NovaPay Technologies · Remote (India) · Risk Intelligence & Applied AI
About the Role
Join NovaPay's Risk Intelligence & Applied AI group to build real-time fraud anomaly detection pipelines and agentic merchant copilot workflows. You will combine high-throughput distributed streaming (Go/Python/Kafka) with retrieval-augmented LLM systems and pgvector embeddings.
What You Will Build
- Real-time transaction scoring services evaluating 3,000+ events/sec under 40ms.
- Autonomous dispute-resolution and chargeback evidence synthesis agents using tool-calling LLMs.
- Evaluation harnesses, guardrails, and cost/latency telemetry across production model endpoints.
Responsibilities
- Build and scale low-latency Python (FastAPI) and Go microservices for real-time payment risk scoring and AI copilot workflows.
- Design vector indexing and hybrid retrieval pipelines on PostgreSQL/pgvector and Redis.
- Run offline and online A/B evaluations for prompt accuracy, hallucination guardrails, and p95 latency.
- Collaborate with Security, Compliance, and Core Payments teams to ship RBI-compliant AI tooling.
Required skills: Python, Distributed Systems, LLMs & RAG, PostgreSQL, FastAPI, Docker
Nice to have: Go, Kafka, pgvector, Kubernetes, OpenTelemetry