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Mid LevelFull-timeRailsAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an AI Engineer to join Aspora, a borderless financial operating system. This role involves building and scaling intelligent systems, starting with internal automation tools and extending into the product.
Key Responsibilities
- →Own the serving and runtime layer for all LLM-powered features, ensuring low latency, high reliability, and cost efficiency in production.
- →Integrate LLM and agent capabilities into real product workflows, including tool calling, routing, guardrails, and safe failure modes.
- →Build reliable, observable AI workflows across product, ops, and data systems, with strong foundations in retries, idempotency, fallbacks, and human-in-the-loop patterns.
- →Design and operate retrieval and knowledge systems end-to-end, from ingestion and indexing to retrieval and response composition.
- →Automate and harden operational processes, turning manual workflows into scalable, measurable pipelines.
- →Own performance, reliability, and operational excellence across AI systems, measuring end-to-end latency, removing bottlenecks, and implementing pragmatic reliability patterns.
- →Instrument and monitor AI systems in production, tracking quality regressions, drift, prompt failures, and retrieval issues with logs, metrics, and traces.
Requirements
- ✓At least 5 years of experience training, deploying, and scaling AI/ML models in production environments.
- ✓Hands-on experience integrating third-party LLM APIs in production environments.
- ✓Practical understanding of MLOps/LLMOps concerns: evaluation, monitoring, rollouts, incident response.
- ✓Strong bias for measurable improvements: latency, cost, reliability.
Benefits
- ★Competitive compensation and equity, aligned with experience, impact and market standards.
- ★Learning & development support, including professional development budgets and learning stipends.
- ★Wellness and team engagement programs to support work-life integration and collaboration.
