AI or ML Engineer

Triunity Software, Inc.; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health insurance

Opportunity for advancement

Training & development

Job summary

Triunity Software, Inc. in San Francisco, CA, seeks a senior AI/ML engineer to collaborate with Sr. AI/ML engineers and leads on experiments with novel model architectures and algorithms.

You will advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments, prototyping and refining algorithms to improve performance and scalability. Strong experience with Python, PyTorch/TensorFlow, OpenAI APIs, Azure OpenAI, Databricks, RAG, and

Qualifications

• Bachelor's or master's degree in computer science, engineering, or a related field.
• 5+ years of experience in software development.
• 2+ years of experience delivering AI/ML solutions.
• Extensive experience implementing generative AI solutions using OpenAI compatible APIs.
• Experience with cloud‑based AI and data services like Python, Databricks, RAG, LangFuse, Azure.
• Experience with frontend development using React or Angular, and backend services using Java or .NET.
• Experience in GitHub & M365 Copilot, Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn.
• Experience collaborating with senior AI/ML engineers to develop models from scratch or improve existing ones.
• Solid understanding of RAG architecture including vector databases and semantic search.
• Advanced proficiency in Python for AI/ML and automation.
• Proven expertise in Azure Document Intelligence, OCR, and Databricks.
• Proven enterprise search, NLP, Speech AI, Vision AI, Supervised & unsupervised ML.
• Proven ability to lead the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval‑Augmented Generation techniques.
• Proven drive end‑to‑end delivery of AI‑powered solutions across cross‑functional teams.
• Proven excellent communication and stakeholder management skills.

Responsibilities

• Collaborate with Sr. AI/ML engineers and Lead for experiments with novel model architectures or algorithms.
• Up to date with cutting‑edge AI models, including deep learning, reinforcement learning, and generative architectures.
• Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments.
• Prototype and refine novel algorithms to improve model performance, scalability, and interpretability.
• Collaborate with cross‑functional teams to translate theoretical advancements into practical enterprise applications.
• Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness.
• Publish findings, contribute to open‑source initiatives, and stay abreast of emerging trends in AI research.
• Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design.
• Optimize training pipelines and infrastructure for large‑scale model deployment and continuous learning.
• Partner with data engineering and product teams to integrate AI solutions into production systems.

Skills

AI/ML experience

Python

PyTorch / TensorFlow

OpenAI APIs

Azure OpenAI / Databricks / LangFuse

React / Angular

Java / .NET

GitHub & Copilot

NLP / AI ethics

Communication & teamwork

Education

Bachelor's or master's in CS/Engineering

Tools

Databricks

LangFuse

OCR / Azure Document Intelligence

Azure OpenAI

Job description

Benefits

• Health insurance
• Opportunity for advancement
• Training & development

Primary Responsibilities

• Work with Sr. AI/ML engineers and Leadfor Experiments with novel model architectures or algorithms
• Up to date with cutting‑edge AI models, including deep learning, reinforcement learning, and generative architecture
• Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments
• Prototype and refine novel algorithms to improve model performance, scalability, and interpretability
• Collaborate with cross‑functional teams to translate theoretical advancements into practical enterprise applications
• Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness
• Publish findings, contribute to open‑source initiatives, and stay abreast of emerging trends in AI research
• Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design
• Optimize training pipelines and infrastructure for large‑scale model deployment and continuous learning
• Partner with data engineering and product teams to integrate AI solutions into production systems

Required Qualifications

• Bachelor's or master's degree in computer science, Engineering, or a related field
• 5+ years of experience in software development
• 2+ years of experience delivering solutions with a focus on AI/ML
• Extensive experience implementing generative AI solutions using OpenAI compatible APIs
• Experience with Cloud‑based AI and data services like Python, Databricks, RAG, Agentic, AI Foundary, LangFuse
• Experience with frontend development using React or Angular, and backend services using Java or .NET
• Experience in GitHub & M365 Copilot, Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn
• Experience in collaborating and working with Sr. AI/ML engineers and Lead to develop new machine learning models from scratch or improvising it
• Solid understanding of RAG architecture including knowledge of vector databases and semantic search
• Advanced proficiency in Python for AI/ML and automation
• Proven expertise in Azure Document Intelligence, OCR, and Databricks
• Proven enterprise search, NLP, Speech AI, Vision AI, Supervised & unsupervised ML
• Proven ability to lead the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval‑Augmented Generation (RAG) techniques
• Proven drive end‑to‑end delivery of AI‑powered solutions across cross‑functional teams
• Proven excellent communication and stakeholder management skills

Preferred Qualifications

• Experience with prompt engineering and fine‑tuning LLMs
• Experience working in agile development environments
• Knowledge of Agentic AI concepts & Implementation