Senior AI/ML Engineer: Production-grade Gen AI & RAG

Triunity Software, Inc.

Ocala (FL)

Sur place

USD 140 000 - 190 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Bonus based on performance
Health insurance
Training & development

Résumé du poste

Triunity Software, Inc. is seeking a talented AI/ML Engineer to join our growing team in the United States. You will work on cutting-edge AI/ML solutions, including retrieval-augmented generation, embeddings, and LLM orchestration, to deliver scalable cloud-based services and REST APIs.

The role emphasizes performance, observability, and governance in regulated environments. Required are strong Python (3.11+), asynchronous programming, and testing skills, plus experience with LLM frameworks and

Qualifications

  • 5+ years of overall software engineering experience.
  • 2+ years of hands-on LLM/Generative AI development experience.
  • Demonstrated experience deploying at least one enterprise-grade AI/LLM application into production.
  • Experience owning and supporting live AI applications, including incident management and root-cause analysis.
  • Exposure to enterprise security and compliance reviews.

Connaissances

Python
Asynchronous programming
Type hints
Automated testing
LLM development
RAG
Embeddings
Indexing
Retrieval optimization
LLM orchestration
LLM evaluation
Golden datasets
Evaluation metrics
LLM-as-judge
REST APIs
Data pipelines
Event-driven architecture
Observability
Security/compliance

Outils

FastAPI
PostgreSQL
Aurora PostgreSQL
Vector extensions
AgentCore
Agentic AI
Kubernetes
Helm
Terraform
CI/CD
Apache Kafka
Datadog
OpenTelemetry
Document AI
OCR

Description du poste

Triunity Software, Inc. is seeking a talented AI/ML Engineer to join our growing team in the United States. You will work on cutting-edge AI/ML solutions, including retrieval-augmented generation, embeddings, and LLM orchestration, to deliver scalable cloud-based services and REST APIs.

The role emphasizes performance, observability, and governance in regulated environments. Required are strong Python (3.11+), asynchronous programming, and testing skills, plus experience with LLM frameworks and

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