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Lead AI Engineer builds and oversees an AI-driven software delivery pipeline, using C#/.NET Core and AI coding agents to generate, test, and deploy production code while mentoring a small team.
Applied AI Engineer owning the eval system and self-improving loop for Magic Patterns' AI design agent, working on evals, context engineering, and post-training to push state-of-the-art design quality from their San Francisco office.
Builds AI-driven product features and internal automation for Baseten’s platform, focusing on agentic workflows, harnesses, and guardrails to enable customers to train and deploy frontier models. Works cross-functionally with research engineers to prototype, ship, and evaluate AI tools.
Leads AI/ML model development for financial services, focusing on scalable, responsible AI solutions for banks, insurers, and wealth managers using Python, TensorFlow/PyTorch, and cloud platforms.
A Secure AI Engineer works on developing and implementing secure artificial intelligence systems, ensuring AI technologies are protected against vulnerabilities and threats while maintaining functionality and performance.
Builds scalable cloud data platforms and AI solutions on AWS, collaborating with cross-functional teams to develop GenAI apps and production-grade data pipelines.
Builds and deploys AI/ML models and pipelines for P&G’s products, collaborating with cross-functional teams to integrate scalable algorithmic solutions in cloud environments.
Senior AI Engineer builds, deploys, and scales AI-driven data products using Python, SQL, and cloud-native tools like Azure and Databricks.
Lead AI and data engineering programs for financial clients, designing scalable GenAI and ML solutions on cloud platforms while managing delivery, governance, and cross-functional teams.
Builds and deploys GenAI and agentic AI systems for pharma clients, integrating RAG pipelines, multi-agent frameworks, and medallion data architectures across Microsoft, OpenAI, and AWS ecosystems.
Design and build autonomous AI agents using LLMs and agentic frameworks to streamline merchant communication and reduce operational costs in Rakuten’s ecommerce ecosystem.
The AI Engineer will embed within Rakuten business units to implement and deploy agentic LLM workflows, focusing on migrating third-party API usage to in-house models. The role involves hands-on production coding, prompt iteration, and model evaluation using Python, Java, or Go.
Builds autonomous AI agents to automate creative content generation (images, videos) for P&G’s marketing platforms using multi-modal LLMs like Gemini, Imagen, and Veo.
The Senior AI Agent Engineer will design and develop autonomous AI agents to automate creative content workflows using multi-modal LLMs and agentic frameworks. The role involves building RAG pipelines, implementing evaluation frameworks, and deploying solutions on GCP to support P&G's marketing asset generation.
Lead AI Engineer at Genpact responsible for developing evaluation frameworks and benchmarks for AI models and agents, leading large-scale human evaluations, analyzing results, and ensuring governance and safety compliance.
Build and deploy production-grade LLM-powered agents and agentic workflows using RAG, tool orchestration, and reasoning to solve complex business problems at scale.
Designs and delivers AI-driven solutions for contact center analytics using agentic systems and knowledge graphs; bridges client needs with technical architecture while authoring BRDs/HLDs and representing the team to clients.
Senior AI Engineer supporting Walmart’s customer team by designing, building, and maintaining data-driven software solutions. Focuses on DevOps, CI/CD, and stakeholder collaboration to deliver scalable data infrastructure.
Leads AI platform engineering for Capital One’s distributed Gen AI systems, designing scalable LLM inference, guardrails, and vector search infrastructure to power real-time banking applications.
Leads UX research for AWS’s AI-native business applications, shaping customer-driven product strategy and improving AI-powered workflows through rigorous research and stakeholder collaboration.
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