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Lead AI architecture and engineering for HotDocs, building enterprise-scale LLM-powered document automation features using .NET Core and React while driving AI adoption across the SDLC.
Build and deploy production-grade GenAI multi-agent systems, fine-tune SLMs, and optimize RAG pipelines for a life-sciences supply-chain platform.
Build AI agents, fine-tune LLMs, and deploy RAG systems for internal security tools using PyTorch, LangChain, and vLLM.
We are seeking GenAI and Agentic AI Engineering Hands-on Lead or a Manager with a focus on delivery, client excellence and innovation. As an experienced Agentic AI Engineer with deep expertise in LLM, Azure AI,…
Lead end-to-end ML engineering for large-scale AI systems, including embeddings, retrieval, ranking, and generative models, while setting technical direction and mentoring teams.
Build and maintain AI-powered document parsing pipelines, OCR/VLM models, and RAG systems to extract and structure data from diverse documents for GenAI applications.
Build and maintain MLOps infrastructure and decision engines to productionize AI/ML models, including LLMs, for real-time enterprise workflows.
Build and improve AI systems that help partners adapt OpenAI models in cloud-native environments, focusing on post-training workflows, evaluation, and API integration.
Salary: $100,000 – $150,000 per year About Kara Technologies Kara Technologies develops AI-powered sign language translation technology that makes information and digital experiences more accessible to Deaf…
Build and deploy LLM-powered AI agents and ML models using PyTorch/TensorFlow to enhance a mobile POS platform for Indian businesses.
Advises clients on generative AI solutions, building chatbots, document tools, and RAG pipelines using Python, LangChain, and cloud AI services like AWS Bedrock and SageMaker.
Build and deploy enterprise GenAI applications using LLMs and multi-agent frameworks, integrating RAG pipelines and Python backend services for scalable AI solutions.
Principal ML Engineer at Micron designs, builds, and deploys scalable AI/ML models and pipelines to optimize semiconductor manufacturing, using Python, TensorFlow/PyTorch, and cloud platforms like GCP/Azure.
Build ML models to detect and govern AI agents in Kubernetes clusters, using telemetry and LLMs to create risk scores and enforce security policies for enterprise customers.
Senior Full-Stack Engineer building internal tools and admin systems using React, Node.js, and databases like PostgreSQL, with a focus on AI-driven automation and scalable architecture.
Design and evangelize AI/ML solutions on Snowflake’s AI Data Cloud, partnering with customers and internal teams to scope POCs and drive technical wins.
About The Role Most agencies bolted AI on as a side tool and kept the same org chart. We changed the org chart. A traditional agency gives one account manager 6 to 8 clients, then hires another AM when the book grows.…
Build and deploy autonomous AI agents and RAG pipelines to automate safety training analytics and compliance workflows, integrating with enterprise systems like CRM and LMS.
Security Engineer at Amazon’s Stores division, reviewing code, designing secure systems, and embedding security into development workflows for critical applications using Java, Python, and JavaScript.
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