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Job Opportunity: Lead AI Engineer | Remote | New AI Team Si está considerando enviar una solicitud, asegúrese de pulsar el botón de solicitar de abajo después de leer la descripción completa. Location: Fully Remote Role Type: Full-Time Seniority: Lead / Senior Start Date: ASAP About the Company The company is building a brand-new AI function to power the next generation of intelligent products and automation capabilities. With a focus on generative AI, large language models, and cutting-edge applied research, they are searching for a seasoned Lead AI Engineer to help architect, develop, and scale core AI capabilities across the business. This is an opportunity to join at the ground floor, shape the technical direction of the AI stack, and work with a highly collaborative team committed to innovation. The Role The Lead AI Engineer will take ownership of designing, building, and deploying advanced AI systems with a strong focus on generative AI and LLM-based applications. This role combines hands-on technical work with leadership responsibilities, including guiding engineering practices, influencing product strategy, and mentoring team members as the AI team grows. Key Responsibilities Architect, build, and deploy generative AI solutions, including LLM-powered applications and retrieval-augmented systems. Lead the technical direction of AI projects, ensuring scalability, performance, and reliability. Develop high-quality, production-ready Python code and machine learning pipelines. Evaluate, fine-tune, and integrate large language models (open-source and API-based). Collaborate with cross-functional teams to define AI use cases and translate them into robust engineering solutions. Implement best practices for model lifecycle management, observability, and continuous improvement. Mentor junior engineers and contribute to shaping a world-class AI engineering culture. Stay up to date with research, tooling, and emerging capabilities in the GenAI ecosystem. Required Experience 5+ years of professional experience in AI/ML engineering, with a strong background in Python (senior-level proficiency required). Hands-on experience fine-tuning, adapting, and deploying large language models (e.g., Llama, GPT-based models, Mistral, etc.). Strong understanding of generative AI architectures, prompt engineering, and vector search/RAG systems. Experience building production-grade AI applications and data pipelines. Proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and model-serving frameworks (FastAPI, Triton, Ray, etc.). Solid knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). A proven ability to lead technical projects and mentor other engineers. Comfort working in a startup or greenfield environment where autonomy and initiative are key. What the Company Offers Fully remote role with flexible working arrangements. High ownership in shaping AI strategy, tooling, and technical foundations. Competitive salary + equity/benefits package. Opportunity to work with cutting-edge GenAI techniques and contribute to innovative products. xohynlm A collaborative environment that values experimentation and engineering excellence.
