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Build and maintain an AI-native data platform that transforms raw enterprise data into trusted, semantically meaningful assets using orchestration, governance, and AI-assisted development tools.
Build and deploy production-grade LLM applications and agentic workflows that turn unstructured text into business insights, using RAG, prompt engineering, and modern cloud data platforms.
Design and lead AI-powered test automation frameworks using LLMs, RAG, and agentic AI to enhance software quality and integrate intelligent testing into CI/CD pipelines.
Lead AI strategy and architecture for a Brazilian organization, designing scalable Generative AI solutions with Microsoft Azure AI tools, establishing MLOps/LLMOps practices, and guiding teams on LLMs, RAG, and AI agents.
Lead AI-native product initiatives to streamline clinical trial workflows using Generative and Agentic AI, shaping strategy from prototyping to scaled delivery.
Build and deploy cutting-edge forecasting models and LLM agents for scenario planning in banking, using PyTorch, LangChain, and production-grade MLOps tooling.
Build and deploy AI systems, including LLM-based agents and retrieval workflows, using Python and cloud-native stacks to power healthcare products and enterprise solutions.
Designs enterprise-scale AI architectures for healthcare, including generative AI apps, agentic systems, and LLM-powered workflows, while ensuring security, compliance, and cloud-native integration.
Build and deploy production-grade GenAI applications for enterprise clients, integrating LLMs, RAG, and agentic workflows with Python and modern AI frameworks.
Build and scale AI platform services like LLM gateways, MCP servers, and agent orchestration frameworks for Tekion’s cloud-native automotive platform.
Principal AI Engineer designs and builds a centralized AI platform and agentic frameworks for healthcare use cases, integrating clinical NLP, structured evidence graphs, and policy engines while ensuring regulatory compliance.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Senior AI Product Engineer builds and maintains a multiplatform AI-powered document system, shipping end-to-end features with React, Node.js, PostgreSQL, and agentic AI workflows using LangGraph and MCP.
Lead the design and development of enterprise AI solutions using Python, RAG, Agentic AI, and LLMs, while engineering enterprise data pipelines and integrating AI into production.
Build full-stack AI agent platforms using React/TypeScript, Java/Python, and modern agentic frameworks (Agentforce, LangChain) to power Salesforce’s next-gen CRM tools.
Act as a technical bridge between customers and AI teams, designing custom AI solutions, workflows, and integrations to meet business or research needs.
Build and deploy enterprise-grade AI agents and RAG pipelines, orchestrating multi-step reasoning systems with robust governance and observability on GCP or AWS/Azure.
Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work…
Build and deploy practical AI-powered applications, agents, and systems using LLMs, agentic frameworks, and modern AI tools to solve real business problems.
Lead the design, development, and deployment of production-grade AI/ML systems, including LLMs and agentic AI, while optimizing models for edge environments and guiding scalable MLOps pipelines.
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