[Hiring] Server Systems-Lead Engineer @FICO
Server Systems-Lead Engineer @FICO
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type full-time
Posted YDay

[Hiring] Server Systems-Lead Engineer @FICO

YDay - FICO is hiring a remote Server Systems-Lead Engineer. πŸ’Έ Salary: unspecified πŸ“Location: CST (UTC-6)

Role Description

Join FICO’s platform engineering team to architect and operate the AI/ML infrastructure powering FICO Assistant β€” our client-facing AI product serving financial institutions across APAC, EMEA, and North America. You’ll own production AI/ML systems end-to-end: model serving, training pipelines, vector search, cloud databases, and 24x7 operational support.

  • Design and operate production AI/ML infrastructure β€” model serving (SageMaker, Bedrock, self-hosted LLMs on EKS), training pipelines, and inference optimization.
  • Own the FICO Assistant database layer β€” provisioning, scaling, performance tuning, and DR across:
    • Amazon OpenSearch β€” embeddings and vector search (k-NN indexes for RAG).
    • Amazon DocumentDB β€” conversation/session storage (MongoDB-compatible schema design, compound/TTL indexing, change streams).
    • Aurora PostgreSQL β€” Langfuse observability backend.
    • Amazon ElastiCache Redis β€” Langfuse caching layer (shard management, eviction policies, Multi-AZ failover).
  • Build Infrastructure as Code (Terraform, Crossplane, CloudFormation) for all AI/ML and database resources.
  • Implement CI/CD pipelines for ML systems with automated testing and model validation gates.
  • Implement monitoring and alerting using CloudWatch and Grafana across all database and AI/ML services.

Qualifications

  • 8+ years in infrastructure/platform engineering; 3+ years focused on AI/ML infrastructure.
  • Hands-on ML model serving β€” SageMaker, Bedrock, vLLM, or TGI.
  • Vector search / embedding index management β€” OpenSearch k-NN, dimension tuning, index optimization for RAG.
  • Kubernetes (EKS) for ML workloads β€” GPU node pools, autoscaling, service mesh.
  • LLM application patterns: conversation memory, guardrails, agent frameworks (LangChain, LlamaIndex).
  • Database security: IAM auth, TLS, encryption, fine-grained access controls.

Requirements

  • Hours: 11 AM – 8 PM Mexico Time Zone (weekdays).
  • On-Call: Rotating alternate weekends.
  • Support Model: 24x7 follow-the-sun for client-facing AI product.

Benefits

  • An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
  • The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
  • Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
  • An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
Before You Apply
️
remote Be aware of the location restriction for this remote position: CST (UTC-6)
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Server Systems-Lead Engineer @FICO
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type full-time
Posted YDay
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remote Be aware of the location restriction for this remote position: CST (UTC-6)
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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