AI/ML Engineer Florida

AI/ML Engineer

Full Time • Florida
Benefits:
  • Bonus based on performance
  • Health insurance
  • Training & development
About the Role:
Triunity Software is looking for a talented and passionate AI/ML Engineer to join our growing team in New Jersey! This is an exciting opportunity to work on cutting-edge artificial intelligence and machine learning solutions that drive real-world impact. If you thrive in a fast-paced, innovative environment and love turning complex data into intelligent systems, we want to hear from you.

Key Technical Requirements
  • Strong proficiency in Python 3.11+, including asynchronous programming, type annotations, and automated testing.
  • Hands-on experience with LLM/Generative AI application development.
  • Strong experience in Retrieval-Augmented Generation (RAG), embedding models, indexing strategies, and retrieval optimization.
  • Experience with at least one LLM orchestration framework: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, or Amazon Bedrock Agents.
  • Expertise in LLM evaluation methodologies, golden datasets, evaluation metrics, and LLM-as-a-judge techniques.
  • Experience developing cloud-based services, REST APIs, data pipelines, and event-driven workers.
  • Knowledge of AI observability, tracing, structured logging, quality monitoring, and cost optimization.
  • Exposure to enterprise security, compliance, and governance requirements.
 
Preferred Technical Skills
  • FastAPI, Pydantic, PostgreSQL, Aurora PostgreSQL, and vector extensions.
  • AgentCore and Agentic AI.
  • Kubernetes, Helm, Terraform, and CI/CD.
  • Apache Kafka and event-driven architecture.
  • Datadog and OpenTelemetry.
  • Document AI, OCR, intelligent document processing, and human-in-the-loop workflows.
  • Experience in financial services, insurance, healthcare, or other regulated industries.
 
Experience Requirements
  • Minimum 5+ years of overall software engineering experience.
  • Minimum 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, root-cause analysis, regression management, and production enhancements.
  • Exposure to enterprise security and compliance reviews.
Compensation: $100,000.00 - $110,000.00 per year




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