RERobert Erikson
@roberterikson
Senior AI Engineer with 6+ years refining AI engineering.
United StatesWhat I'm looking for
I am a Senior AI Engineer with over six years of experience in refining AI engineering, particularly in the realm of Large Language Models (LLMs) and backend systems. My expertise lies in designing and deploying secure, scalable architectures using cutting-edge technologies such as OpenAI, HuggingFace, and LangChain. I have a proven track record of automating model evaluation and tool chaining, which has led to significant process acceleration and a substantial reduction in manual review efforts.
Throughout my career, I have successfully pioneered advanced model tuning and document analysis pipelines for enterprise cloud infrastructures. My collaborative approach and critical thinking skills have been recognized in fast-paced environments, making me uniquely qualified to contribute to innovative projects at the intersection of law, language, and intelligence. I thrive on challenges and am committed to delivering high-impact features that drive organizational success.
Experience
Work history, roles, and key accomplishments
Senior ML Engineer – AI Systems
BlueLabel
Apr 2024 - Present (1 year 3 months)
Engineered a supervisor-orchestrated multi-agent system leveraging LangGraph and LangChain to automate ETL/ELT pipeline generation on Azure, reducing data engineering development time by 40%. Integrated Azure OpenAI Service LLMs and HuggingFace models into backend systems, enabling advanced natural language document analysis and semantic search. Designed and productionized evaluation frameworks fo
Technology Architecture Lead – Agentic AI
Accenture
Jan 2021 - Apr 2024 (3 years 3 months)
Architected and led development of multi-agent AI engineering systems using CrewAI, LangChain, and LangGraph, automating customer service workflows and improving first-call resolution rates by 25%. Implemented robust backend APIs, privacy-centric workflows, and automated model evaluation pipelines for LLM-driven features and intent modeling. Oversaw cloud infrastructure deployment using Azure Kube
Python Developer
Twilio
Jun 2018 - Jan 2021 (2 years 7 months)
Developed a robust backend system in Python, using the Flask framework, to automate the configuration and management of Twilio Flex contact center deployments, streamlining the setup process. Integrated the system with Twilio's Programmable Communications APIs via RESTful interfaces, enabling programmatic control over contact center features and workflows. Designed and implemented a message queue-
Education
Degrees, certifications, and relevant coursework
BCBoston College
Bachelor of Science, Computer Science
Activities and societies: Theater, environmental conservation, art, hiking, skiing, travel
Studied Computer Science at Boston College. Gained foundational knowledge and skills in various aspects of computing.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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