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Designs and builds AI-powered automation workflows, integrating HubSpot and other systems with LLMs to streamline healthcare operations and improve customer engagement.
Build and maintain production-grade GenAI agents in Python, integrating LLM tool-calling, RAG pipelines, and real-time speech/data systems for enterprise clients.
Design and ship cloud-native AI solutions (RAG, agents, LLM integrations) in Python, owning architecture and client delivery for global enterprises.
Lead a team to design, evaluate, and deploy LLM-based systems, including RAG and agentic workflows, while optimizing GenAI operations for cost, latency, and safety.
Lead GenAI initiatives, designing and deploying LLM-based systems, RAG, agents, and LLMOps while building and mentoring a data-science team.
Build and scale SentinelOne’s AI Gateway infrastructure (Kong-based) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM stacks and driving reliability across Kubernetes and CI/CD systems.
Build and scale SentinelOne’s AI Gateway infrastructure (Kong-based) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM stacks and driving reliability across Kubernetes and CI/CD tooling.
Build and deploy AI-powered applications for financial clients using large language models, retrieval-augmented generation, and cloud platforms like Google Cloud.
Build and maintain the AI platform infrastructure for TeamViewer Tia, including data pipelines, retrieval systems, vector databases, and production model deployment to power reliable, enterprise-grade AI experiences.
Solution Architect designs enterprise-scale GenAI/LLM systems, including RAG pipelines, agent orchestration, and secure on-prem deployments, while guiding clients through AI transformation and regulatory compliance.
Designs and implements AI security architecture, policies, and threat mitigation strategies to protect AI systems from vulnerabilities like prompt injection, data leaks, and unauthorized access. Focuses on compliance (GDPR, EU AI Act) and integrates security controls into MLOps/LLMOps workflows.
Build and deploy AI-powered agents and workflows using LLMs, RAG, and agentic frameworks to modernize enterprise software and drive scalable AI solutions.
Design and lead production-grade AI solutions, especially LLM-based generative AI, from architecture to deployment, collaborating with cross-functional teams and ensuring scalability, security, and responsible AI.
Design and build generative AI solutions using LLMs, agent architectures, and cloud platforms for enterprise clients, from ideation to production deployment.
Designs and governs enterprise AI architecture, including generative and agentic systems, ensuring secure, compliant, and scalable adoption across the organization.
The Principal AI Engineer is a role where the domain is the entire business. The Principal AI Engineer will work directly with teams across Finance, Team and Culture, Operations, Sales, Purchasing, and Land to…
Maintain and expand an AI-powered chat application (Chatbook) using LLMs, RAG, and agentic frameworks on AWS. Build MCP integrations and production-grade AI solutions with Next.js, Python, and TypeScript.
Build and deploy multi-agent AI systems, multimodal pipelines, and RAG/Graph-RAG for fintech use cases using Python, PyTorch, and Databricks.
Leads architecture and delivery of enterprise-scale GenAI and agentic AI systems on GCP, defining standards, pipelines, and guardrails to power AI-native travel retailing platforms.
You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The…
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