Role Overview:

As an AI Engineer, you will work directly with clients to own the implementation of AI solutions using our AI platform. You will build and deploy end-to-end AI workflows, taking projects from concept to production, and solving complex, real-world challenges at scale. Your insights and learnings from client engagements will directly contribute to the evolution of our platform, ensuring we stay at the forefront of AI innovation.

You will play a key role in expanding our presence into new markets and problem spaces unlocked by Generative AI.

Key Responsibilities:

Deliver Production-Ready AI Solutions: Design and deploy AI Agents, data processing pipelines, that are robust, scalable, and suitable for real-world applications.
Solve Real Business Problems: Focus on practical AI solutions that address tangible business challenges, moving beyond theoretical approaches.
Collaborate Across Teams: Work effectively with both technical and non-technical stakeholders to ensure clear communication and smooth project execution.
Adapt in Dynamic Environments: Operate comfortably in fast-paced, evolving settings, adjusting quickly to shifting objectives and direct user feedback.
Drive Innovation and Growth: Embrace an entrepreneurial mindset, continuously learning, innovating, and striving to make a high impact in a rapidly changing field.
Client Interaction and Strategy Development: Engage with clients to understand their challenges, develop AI strategies, and translate their needs into actionable technical solutions.
Deploying Solutions to Production: Move AI workflows from prototype to production, ensuring they integrate smoothly into client environments and solve real-world problems.
Iterating and Improving: Continuously enhance deployed solutions based on feedback and evolving requirements, focusing on debugging, performance improvement, and workflow adaptation.
Contributing to Platform Evolution: Share field insights to influence the development of new features and capabilities within the AI platform, aligning it with market needs.

Key Traits:

Technical Proficiency: Expertise in building and deploying AI models, data pipelines, and advanced analytics in production environments.
Problem-Solver: Ability to design practical, impactful AI solutions that address real business challenges, focusing on tangible outcomes
Collaborative: Effective communication skills to work with diverse teams, including technical and non-technical stakeholders, and explain complex AI concepts in understandable terms.
Adaptable: Comfortable working in dynamic, fast-paced environments with evolving objectives, quickly iterating on solutions based on feedback.
Innovative and Entrepreneurial: Passion for continuous learning, innovation, and applying an entrepreneurial approach to drive impact and growth.
Client-Focused: Strong ability to engage directly with clients, understand their needs, and align AI strategies with business objectives.
Detail-Oriented: Focus on refining, testing, and fine-tuning AI solutions for optimal performance in real-world settings.
Continuous Learner: Commitment to staying updated on the latest AI technologies, tools, and methodologies, exploring new approaches to keep skills and solutions cutting-edge.

Skills and Qualifications:

Proven experience developing solutions using Generative AI models, with a strong understanding of the AI landscape and related technologies.
Solid foundation in Machine Learning principles, including evaluation, training, and problem decomposition.
Strong background in engineering or a related technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Machine Learning.
Proficiency in programming languages such as Python, Java, C++, JavaScript/TypeScript, or similar.

This role is a blend of technical innovation, strategic consulting, and hands-on problem-solving, making each day varied, challenging, and impactful.

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Artificial Intelligence Engineer