AI/ML Engineering Lead
Join an R&D team developing production AI systems that transform noisy, unstructured web data into reliable insights. The role leads initiatives using large language models, autonomous agents, retrieval-augmented generation, and applied machine learning.
Responsabilidades
- Design, prototype, and deploy LLM-powered systems for information extraction, reasoning, and classification.
- Build autonomous agents that interact with knowledge sources, APIs, and structured data.
- Implement and optimize RAG pipelines with vector databases and LLM orchestration frameworks.
- Evaluate and integrate AI tools and frameworks for production use.
- Lead AI initiatives and define technical strategy from research through deployment.
- Partner with product, data, and software teams to develop AI-powered workflows.
- Build, manage, and mentor AI and data science teams.
Requisitos
- At least 5 years of experience in traditional machine learning, including model development, optimization, and production deployment.
- At least 2 years of experience with generative AI, including LLMs, fine-tuning, embeddings, and applied NLP.
- Demonstrated experience leading AI initiatives from research and prototyping through production deployment.
- Experience defining AI strategy, identifying opportunities, and aligning technical direction with business objectives.
- Experience building or managing AI and data science teams, mentoring talent, and fostering innovation.
- Experience with agent-based architectures, RAG pipelines, APIs, vector databases, or knowledge graphs.
- Strong communication and leadership skills, including collaboration with executives and cross-functional stakeholders.
Se valora
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Familiarity with data engineering workflows and enterprise-scale system design.
- Experience with LangChain, OpenAI, Gemini, FAISS, Pinecone, or comparable tools.
- Knowledge of knowledge graphs and current AI research trends.