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Build and scale a next-gen generative-AI platform using Python, FastAPI, RAG, and LLM integrations (GPT, Mistral, Claude) with cloud-native tooling.
Lead a team to design and build scalable data pipelines and AI-ready infrastructure for an AI startup, focusing on real-time processing, vector search, and ML data workflows.
Senior Python developer building autonomous AI agents for logistics optimization using LangChain, CrewAI, and vector databases like Pinecone.
Build autonomous AI agents for logistics optimization using Python, LangChain, and vector databases to automate complex workflows and decision-making.
Build and scale SentinelOne’s AI Gateway (Kong AI Gateway) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM inference stacks and LLMOps tooling across Kubernetes.
Build and scale SentinelOne’s AI Gateway (Kong AI Gateway) to route, rate-limit, and monitor AI coding assistant traffic, while operating self-hosted LLM inference stacks and LLMOps tooling across Kubernetes and AWS.
Lead AI-driven automation projects for enterprise domains like supply chain and IT ops, building full-stack AI systems with LLMs and agentic architectures on NVIDIA’s platforms.
Principal AI/ML Research Engineer leads applied research in generative AI, deep learning, and Transformers to build Payment Foundation Models for commerce and fintech challenges, driving novel architectures from prototype to production.
Build and deploy LLM- and SLM-powered agentic systems for healthcare decisioning, including clinical reasoning, prior authorization, and claims integrity, using frameworks like LangGraph and LangChain.
AI Architect (with Python) AI Architect: Lead end-to-end AI solution design and hands-on implementation in Python. Collaborate across teams to deliver secure, scalable Generative AI and ML solutions. About the role We…
Build full-stack AI platforms integrating LLM workflows, RAG, and multi-agent systems using React, TypeScript, Python, and cloud-native tools.
Build ML-driven data-mining tools to find the most valuable moments in petabytes of autonomous-driving data, turning them into searchable datasets for ML engineers.
Staff AI Engineer Location: Work At Home-Connecticut Remote Type: Remote Time Type: Full time Job Description We’re building a world of health around every individual — shaping a more connected, convenient and…
Design enterprise AI solutions using generative agents, RAG, and AIOps to automate IT service management workflows like incident handling, diagnostics, and resolution.
Team lead for AI/ML projects: organizes DS/ML teams, sets LLM pipelines (RAG, fine-tuning), translates business needs into technical tasks, and ensures model quality and deployment in production.
Design and lead enterprise AI data architectures, including RAG pipelines, vector indexing, and knowledge graphs, to enable AI agents while enforcing strict data governance and security.
Build real-time data pipelines and vector databases to power AI agents, transforming logs and docs into embeddings for RAG systems.
Build and deploy scalable data pipelines and AI infrastructure for enterprise clients, focusing on ETL/ELT, vector databases, and real-time streaming to power AI-driven solutions.
Build and optimize data pipelines on Databricks, engineer datasets for AI models, and implement retrieval architectures while integrating generative AI capabilities.
Design and optimize enterprise RAG platforms using vector databases and semantic search to power AI-driven knowledge systems and integrations with LLMs.
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