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Build and evaluate NLP models using Python, PyTorch/TensorFlow, and Hugging Face Transformers to classify text and extract insights for government-focused missions.
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.
Build and test components for generative AI and LLM applications under supervision, including RAG pipelines and prompt engineering, using Python and ML frameworks.
Designs and builds high-performance data pipelines and retrieval systems to power AI-driven video insights, combining vector search, knowledge graphs, and semantic layers at scale.
Design and build the data infrastructure for a next-gen AI platform, focusing on vector search, knowledge graphs, and semantic retrieval at global scale.
Lead AI engineering teams to build and deploy enterprise GenAI solutions, fine-tuning LLMs, RAG, and agentic workflows while coding critical components and guiding customers from pre-sales to production.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Build and deploy enterprise AI solutions—LLMs, RAG, and agentic systems—using Python and Azure to improve customer outcomes and operational efficiency in a regulated financial services environment.
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…
Analyzes cruise-line onboard revenue data using SQL, Python, and BI tools to generate insights, then presents findings to cross-functional teams and helps pilot AI-driven analytics tools.
Build AI-powered features like intelligent assistants and automation tools using LLMs, APIs, and AI coding assistants in a product-focused role.
Lead the end-to-end delivery of enterprise generative AI and agentic systems, architecting production-ready solutions using hosted foundation models, RAG, knowledge graphs, and multi-agent orchestration on AWS.
Analyzes onboard revenue data using SQL, Python, and BI tools to deliver insights that optimize travel experiences and business performance.
Analyzes onboard revenue data to extract insights and recommend improvements, using SQL, Python, and AI tools while collaborating with cross-functional teams.
Lead AI engineering for financial clients, building and deploying GenAI and multi-agent systems while mentoring teams and ensuring compliance with enterprise standards.
Build and deploy AI-powered healthcare tools using LLMs and multi-agent systems to improve senior care access and quality.
SageOx is a well-funded, early-stage startup at the frontier of how AI is shaping the world. At SageOx, we believe the future of work is deeply human and collaborative. As agents take on execution, coordination, and…
Build and optimize AI agents for adtech using LLMs, RAG, and vector databases to enhance contextual ad generation and retrieval.
Build and optimize AI agents for advertising using LLMs, RAG, and vector databases to enhance generative AI capabilities in a hybrid work environment.
Build full-stack React/TypeScript apps and Java Spring Boot services that power Attentive’s customer-facing integrations, observability tools, and AI-driven marketing platform.
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