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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.
Build and maintain AI-driven recruitment tools like agentic workflows, RAG pipelines, and multi-model orchestration to automate hiring tasks and improve recruiter efficiency.
Design and build autonomous AI agents that decompose goals into actionable steps, integrate with enterprise systems, and deploy robust RAG pipelines with monitoring and governance.
The Role As the SEO & AEO Specialist, you own Aiven’s discoverability in the age of generative AI. You are a modern search strategist who understands that search has evolved into a complex ecosystem of Generative…
Build and deploy large-scale ML systems for personalized recommendations, search, and ads at Reddit, using PyTorch/TensorFlow and distributed pipelines.
Build and deploy large-scale ML systems for recommendations, search, ads, and LLM-driven features that power Reddit’s community platform.
Senior engineer designing and building production AI solutions on Azure AI Foundry, including agents, RAG, orchestration, and enterprise integrations with Power Platform and Dynamics 365.
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