What are the responsibilities and job description for the AI/ML Engineer position at Triunity Software?
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.
Salary : $100,000 - $110,000