Senior AI Engineer

Oolka · Personal Finance Apps & Education · Python · 2 months ago
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Salary
≈ $23k – $48k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 3+ years exp

First seen by Alion on Sep 18, 2026.

Overview
Company
Impact
Profile match

Oolka

Founded in 2023, Oolka is an Indian fintech company that provides an AI-powered credit management and financial wellness platform. Headquartered in Bengaluru, India, the firm offers comprehensive credit report analysis, automated dispute resolution, and personalized strategies to help users improve their credit scores. By leveraging intelligent automation and data-driven insights, the platform enables consumers to track loan obligations, manage debt, and achieve long-term financial health.
oolka.in · HQ: Bengaluru, India · Personal Finance Apps & Education · 51-200 employees · Est. 2023
Tech stack of Oolka
Backed by Accel, IIMA Ventures, 8i Ventures

Responsibilities:

  • Building scalable backend services for AI applications.
  • Integrating LLMs like OpenAI, Claude, Gemini, Bedrock, or vLLM into production.
  • Building agentic AI workflows using LangGraph, LangChain, or similar frameworks.
  • Designing asynchronous, event-driven systems using Kafka, RabbitMQ, WebSockets, or SSE.
  • Handling retries, rate limiting, circuit breakers, and provider fallback when AI services fail.
  • Optimising AI performance using Redis caching and low-latency architectures.
  • Building microservices that support high-concurrency production traffic (10,000+ concurrent users).
  • Deploying and monitoring applications on AWS with Kubernetes, Docker, and observability tools like Grafana or Prometheus.

Requirements:

  • 3-5 years of backend engineering experience.
  • Proficiency in Python (FastAPI/Django).
  • Knowledge of Production LLM integration (OpenAI, Claude, Gemini, Bedrock, vLLM, etc. ).
  • Proficiency in Agentic AI (LangGraph, LangChain, Multi-Agent Systems).
  • Advanced Async/event-driven architecture (Kafka, RabbitMQ, SQS, WebSockets, SSE).
  • Proficiency in Redis caching and microservices.
  • High-concurrency, low-latency systems.

Good to Have:

  • Kubernetes, Docker, AWS.
  • Observability (Grafana, Datadog, Prometheus).
  • Fintech or payments experience.
  • Startup experience.
  • Experience breaking monoliths into microservices.
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