AI or ML Engineer

Triunity Software•San Francisco, CA

26d

About The Position

Triunity is seeking an AI or ML Engineer to work with Sr. AI/ML engineers and Leads on experiments with novel model architectures or algorithms. The role involves staying up-to-date with cutting-edge AI models, advancing agentic capabilities by designing autonomous systems, and prototyping/refining novel algorithms. The engineer will collaborate with cross-functional teams to translate theoretical advancements into practical enterprise applications, conduct rigorous experimentation, and publish findings. Responsibilities also include ensuring ethical AI development, optimizing training pipelines, and partnering with data engineering and product teams to integrate AI solutions into production systems. The role requires compliance with company policies and directives.

Requirements

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 in GitHub & M365 Copilot
Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn
Experience with frontend development using React or Angular, and backend services using Java or .NET
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

Nice To Haves

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

Responsibilities

Work with Sr. AI/ML engineers and Lead for Experiments with novel model architectures or algorithms
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
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives