AI/ML Engineer

Triunity Software•Oakland, CA

4d•$100,000 - $110,000

About The Position

Triunity Software is seeking a talented AI/ML Engineer to join its growing team in New Jersey. The role involves developing cutting-edge artificial intelligence and machine learning solutions with real-world impact in a fast-paced, innovative environment. The engineer will build and support LLM and generative AI applications, including production-grade enterprise solutions, and work with data, cloud services, and AI systems.

Requirements

At least 5 years of overall software engineering experience.
At least 2 years of hands-on LLM or generative AI development experience.
Strong proficiency in Python 3.11 or later, including asynchronous programming, type annotations, and automated testing.
Hands-on experience developing LLM or generative AI applications.
Strong experience with 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.
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.

Nice To Haves

Experience with FastAPI, Pydantic, PostgreSQL, Aurora PostgreSQL, and vector extensions.
Experience with AgentCore and Agentic AI.
Experience with Kubernetes, Helm, Terraform, and CI/CD.
Experience with Apache Kafka and event-driven architecture.
Experience with Datadog and OpenTelemetry.
Experience with Document AI, OCR, intelligent document processing, and human-in-the-loop workflows.
Experience in financial services, insurance, healthcare, or other regulated industries.

Responsibilities

Develop LLM and generative AI applications.
Build and optimize Retrieval-Augmented Generation (RAG) solutions, including embedding models, indexing strategies, and retrieval.
Develop cloud-based services, REST APIs, data pipelines, and event-driven workers.
Evaluate LLM applications using evaluation methodologies, golden datasets, evaluation metrics, and LLM-as-a-judge techniques.
Monitor AI application quality, tracing, structured logs, and costs.
Deploy, own, and support live enterprise AI applications, including incident management, root-cause analysis, regression management, and production enhancements.
Address enterprise security, compliance, and governance requirements.