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Principal AI Software Engineer at NetSage designing and delivering advanced AI/ML solutions for national security, focusing on LLMs, deep learning, and cloud-native applications.
Design and build enterprise-grade agentic AI systems for supply-chain use cases, including multi-agent orchestration, RAG pipelines, deployment, and lifecycle management.
Interns research and prototype AI/ML solutions to automate mortgage workflows, evaluate LLM/RAG workflows, and test AI outputs for accuracy and business impact.
Build and fine-tune large language models to automate healthcare claims and conversational AI, using Python, PyTorch, and cloud ML platforms.
Lead a team building AI/ML systems for healthcare benefits, including LLMs, RAG, and multimodal models, to improve claims processing and customer experience.
Build and deploy AI/ML models and LLM-powered applications using Python, scikit-learn, and cloud AI services to solve retirement-industry challenges and automate workflows.
Design and deploy enterprise-grade conversational AI solutions for government and education clients, acting as a technical expert and advisor to accelerate cloud adoption and digital transformation.
Builds and scales an AI platform focused on LLMs, RAG, and multi-agent systems using Golang, Python, and Java, with a focus on software engineering best practices.
Build and deploy production-grade generative AI systems using LLMs, RAG pipelines, and agentic architectures on AWS Bedrock and other platforms.
Backend Developer building Java/Quarkus microservices and APIs for an energy-and-mobility platform, using AI tools like GitHub Copilot to accelerate development, testing, and code reviews.
The Role You'll work across the lab on agent capability evals, benchmark design, LLM-as-judge systems, failure analysis, and the infrastructure that ties it together. This is a high-growth, high-ownership role on a…
This is an on-site position located in the Alpharetta, GA office. About Meadows & Ohly Founded in 1972, Meadows & Ohly is a leading healthcare real estate services firm serving health systems and providers…
Build and deploy AI models, including computer vision, NLP, and LLM applications, while integrating them into full-stack and web apps.
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
Lead the design and optimization of database systems that power both business apps and AI-driven solutions, including vector databases and LLM integrations, while mentoring the team.
Leads the technical vision and architecture for enterprise AI solutions, including LLMs, generative AI, and conversational platforms, while integrating them securely with business systems and data platforms.
Advises utilities and oil & gas clients on AI transformation, designing strategies, roadmaps, and business cases to implement AI solutions like LLMs and agents.
Build and deploy ML models for a multimodal AI platform using LLMs, RAG, and computer vision to enhance auto-tagging, OCR, and content analysis for enterprise clients.
Builds AI-powered chatbots and agentic systems using Python, FastAPI, LangGraph, and OpenAI SDK, integrating LLMs with workflow automation and deploying on AWS.
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining scalable ML pipelines in cloud environments like AWS or Azure.
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