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Build and deploy enterprise Generative AI apps using LLMs, RAG pipelines, and AI agents with Python, LangChain, and vector databases.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Design and deliver enterprise-scale generative AI systems on AWS, using Amazon Bedrock, RAG, and agentic workflows while defining architecture standards and ensuring governance and security.
Design and deploy AI-powered applications, including LLM-based agents and workflows, to transform enterprise processes while ensuring scalability, security, and governance.
Surf AI is the agentic operations platform for enterprise security teams. We don't just surface risk, we close it. Our platform connects context across identity, cloud, HR, IT, and SaaS systems, and uses…
Build and maintain Python-based AI applications, embed AI capabilities into systems, and deploy on AWS for clients.
Build and deploy enterprise-grade AI agents that automate multi-step workflows across finance, sales, and support using LLMs, RAG, and agentic orchestration in a fintech platform.
Build and deploy production-grade generative AI systems for enterprise customers, coding agentic workflows and integrating them with live infrastructure using Google Cloud’s AI stack.
Design and build scalable AI/ML infrastructure for a global fintech leader, focusing on real-time fraud detection and liquidity optimization using AWS, Kubernetes, and PyTorch.
Leads AI engineering at Weekday AI, designing and scaling core AI models and infrastructure for the company’s primary product.
Build and improve AI models and systems for a company whose core product is AI/ML.
Build and scale the core ML systems for a new AI startup, designing models and infrastructure from the ground up.
Build and scale the backend of an AI platform in Go, designing APIs, AI workflows, and production-grade LLM integrations while owning features from concept to deployment.
Builds and deploys AI-powered backend services using LLMs, RAG, and vector search; writes Python microservices and data pipelines for production GenAI apps.
Lead a team building and deploying enterprise data platforms, AI models, and generative AI solutions using Databricks, cloud-native tech, and AI tools like LangChain and Pinecone.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, and RAG; evaluate models and datasets.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and vector databases in Python with PyTorch and HuggingFace.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and evaluation frameworks while collaborating with AI Engineering teams.
Build and tune NLP and generative-AI models using prompt engineering, fine-tuning, RAG, and vector databases, then deploy them with Docker and GPU training.
Design and deploy scalable, real-time AI systems including LLM inference pipelines, RAG, and vector databases using Python, TensorFlow/PyTorch, and Kubernetes.
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