AI Engineer / IA Data Engineer 18 applicants
Design, develop, and implement scalable Generative AI solutions using Python and LLMs. Manage cloud infrastructure as code and integrate AI components into productive environments.
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Design, develop, and implement scalable Generative AI solutions using Python and LLMs. Manage cloud infrastructure as code and integrate AI components into productive environments.
You will design and implement high-quality data models and architectures while defining data quality rules and governance mechanisms. Additionally, you will consult with clients to improve data quality and facilitate workshops on AI and automation.
You will lead end-to-end full-stack delivery and shape the company's AI engineering strategy by building features and agentic workflows. You will also collaborate directly with the CTO on platform architecture, roadmap decisions, and technical strategy.
The Forward Deployed AI Lead manages the end-to-end success of AI transformation engagements, from initial discovery to executive handoff. They provide strategic and technical direction while building strong executive relationships to ensure measurable business outcomes.
The Forward Deployed AI Strategist partners with executive teams to identify AI-driven business value and develop comprehensive transformation roadmaps. They also oversee the execution of these strategies, mentor delivery teams, and continuously refine the company's AI transformation methodology.
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You will architect and build intelligent systems for conversational AI while leading technical direction and mentoring team members. You will also collaborate with cross-functional partners to evolve the engineering roadmap and ensure platform scalability.
You will own features end-to-end from specification to deployment while leveraging AI tools to accelerate development. You are responsible for maintaining code quality, fixing bugs, and ensuring system reliability without a dedicated QA team.
The role involves generating AI product images using internal workflows and overlaying headlines and copy using Adobe Photoshop. You will also iterate on designs based on team feedback and manage creative assets within the image library.
Adapt and review scripts for AI dubbing projects while ensuring localized content is natural, accurate, and engaging. Collaborate with internal teams to maintain high quality standards and improve creative outcomes.
The AI Native Engineer will build and maintain harness components including retrieval, tool invocation, and evaluation. They will also contribute to architecture-level problem solving under the guidance of senior and principal engineers.
The consultant will lead the deployment, configuration, and optimization of AI-powered detection and response capabilities within the CrowdStrike platform. They will also provide technical troubleshooting, develop custom automation playbooks, and facilitate knowledge transfer for customers.
The Lead AI Engineer will serve as a strategic advisor to C-level executives, driving the technical vision and successful delivery of complex AI programs. They are responsible for establishing architectural best practices, managing technical risk, and ensuring high customer satisfaction across the professional services portfolio.
The AI Security & Controls Lead defines and implements security and risk controls across the AI lifecycle to ensure responsible and scalable AI adoption. This role acts as a bridge between AI engineering, information security, and privacy teams to identify control gaps and provide secure-by-design guidance.
The role involves leading the technical roadmap for reward modeling, utility estimation, and multi-objective optimization within the Member Systems team. You will drive cross-functional partnerships and design rigorous experiments to validate the impact of AI systems on business and member-experience metrics.
You will develop and implement AI-driven automation solutions using tools like Microsoft Copilot and LLMs to optimize workflows. Additionally, you will create enablement materials and training formats to help teams effectively adopt and understand AI technologies.
You will collaborate with cross-functional teams to enhance the Lyra platform by developing predictive and generative models. Additionally, you will manage data pipelines and provide actionable insights to support product iterations and clinical logic.
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You will lead and mentor the Colombia engineering team while staying hands-on with the development of complex, production-grade AI systems. You will also collaborate with clients to translate business problems into technical architectures and ensure high-quality delivery.
Build and operate backend systems that serve AI-powered features in production environments. Design inference pipelines, orchestration layers, and service boundaries while ensuring system reliability and performance.
You will own the inference and orchestration layer that powers AI interactions, ensuring high reliability and low latency. Your role involves building production systems, designing inference pipelines, and maintaining observable APIs for mobile and desktop clients.
You will define end-to-end AI system requirements and translate model capabilities into clear product decisions. You will also collaborate closely with engineering teams to iterate on system design, evaluation frameworks, and user impact.
The role involves curating and expanding authoritative US legal analysis by leveraging AI-enabled editorial tools and managing relationships with external authors. You will apply editorial judgment to refine AI-generated content and contribute to the continuous improvement of AI tools used for legal content development.
Design advanced, deterministic biology problems that challenge frontier AI systems with verifiable solutions. Utilize Python and specialized bioinformatics tools to build tasks involving experimental reasoning and computational analysis.
Design challenging, deterministic biology problems with verified solutions to improve AI model reasoning. Utilize Python and bioinformatics tools to create tasks involving experimental reasoning and quantitative biological analysis.
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You will deliver advanced AI solutions by leveraging machine learning, generative AI, and agentic AI technologies within scalable cloud environments. Additionally, you will mentor junior developers and collaborate with customers to translate business challenges into trustworthy, responsible AI implementations.
The Senior Director will define and scale the foundational AI platform architecture to support rapid development and deployment of AI-enabled products. This role involves leading cross-functional teams to establish MLOps standards, governance, and reusable AI capabilities across the organization.
The Principal Software Development Engineer will lead the architecture, design, and delivery of scalable, AI-enabled digital healthcare applications. This role involves setting technical strategy, mentoring engineering teams, and ensuring high-performance standards across cloud platforms.
Define the technical vision and architecture for enterprise-scale AI solutions within smart manufacturing and industrial operations. Lead architecture workshops, develop transformation roadmaps, and provide governance throughout the delivery of complex IT-OT integrated systems.
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