At the company, we are seeking a Lead AI Engineer who shares our passion for innovation and transformation. This role is critical in building advanced AI-driven solutions that enable our business partners to evolve and meet the growing demand for personalized, intelligent digital experiences.
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Key Responsibilities
- Build and refine the AI CFO super-agent, specialist sub-agents, intent classification pipelines, tool routing logic, and session memory.
- Build and maintain the Tool Gateway layer to validate all LLM-generated actions against strict banking policies, ensuring zero hallucinated transactions.
- Engineer end-to-end RAG pipelines (ingestion, vector indexing, retrieval optimization) and implement programmatic guardrails ("Trust Dial" logic for autonomous vs. approval modes).
- Design automated continuous evaluation pipelines to detect behavioral regressions and hallucination risks before releases reach staging or production.
- Build resilient, containerized, stateless microservices on Kubernetes designed for high concurrency and horizontal scaling.
- Optimize LLM inference layers (token budget management, streaming responses, prompt caching, model fallbacks).
- Engineer real-time event streaming pipelines (via Kafka/AWS MSK) for proactive banking triggers.
- Build robust API adapter layers connecting the AI platform with core banking systems, incorporating retry logic, rate limiting, and idempotency keys.
- Implement legacy service facades and secure transaction safety nets (rollback mechanisms, duplicate transaction detection, and reconciliation).
- Set and enforce code quality, test coverage, and definition-of-done criteria across four delivery pods.
Requirements
- 7+ years of overall software engineering experience with a strong track record of shipping complex, high-traffic production systems.
- 3+ years of hands-on experience building and deploying production-grade LLM/Agentic AI systems at scale (orchestrator/worker patterns, tool calling, RAG pipelines, prompt safety).
- Deep expertise in Python and/or TypeScript with solid software design principles (distributed systems, concurrency, fault tolerance).
- Proven track record deploying containerized workloads using Kubernetes on major cloud providers (AWS/Azure/GCP) using IaC tools like Terraform or CDK.
- Direct experience with system performance tuning, latency budgets, caching strategies, and event-driven architectures (Kafka).
- Demonstrated technical leadership experience as a Lead/Staff Engineer conducting rigorous code reviews and setting quality standards.
Nice-to-Haves
- Direct experience within Banking, Fintech, or Financial Services, especially integrating with core banking APIs, payment rails, or card platforms.
- Familiarity with financial compliance and security standards (PCI-DSS, SOC 2, zero-tolerance data correctness).
Work Conditions
We offer a comprehensive benefits package, and compensation is determined based on skills, qualifications, experience, and location. We are committed to diversity and inclusion in our workplace.
