AI/ML Engineer

Triunity Software, Inc.; Addison (TX); Sur place; USD 150 000 - 230 000; Plein temps

Avantages offerts par ce poste

Bonus based on performance

Health insurance

Training & development

Résumé du poste

Triunity Software, Inc. in New Jersey is hiring an AI/ML Engineer to design and deploy cutting-edge AI/ML solutions. You will build scalable data pipelines and REST APIs powering real-world applications.

You will work with state-of-the-art LLMs, implement RAG and embedding strategies, and ensure observability, security, and cost efficiency. Requires 5+ years in software and 2+ years in generative AI.

Qualifications

• 5+ years of software engineering experience.

Connaissances

Python 3.11+

LLM/Generative AI development

RAG

Embedding models

Indexing strategies

Retrieval optimization

LLM orchestration frameworks

LLM evaluation methodologies

Cloud-based services

AI observability & logging

Security & compliance

Outils

LangGraph

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Amazon Bedrock Agents

Kubernetes

Helm

Terraform

CI/CD

Apache Kafka

Datadog

OpenTelemetry

Description du poste

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.