AI/ML Engineer

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.

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