Senior Technical Lead – AI, Agents

Company Overview

Dadosfera is transforming the data landscape with a platform that delivers advanced Data, AI, and Analytics capabilities—previously available only to tech giants like Meta, Amazon, Alphabet, and Microsoft—into the hands of small and medium-sized businesses. By democratizing access to these technologies, we empower our clients to accelerate business opportunities through AI-powered Data Apps.

Our platform minimizes the time spent on cloud management and streamlines the entire data lifecycle—from collection and exploration to processing and interaction—allowing clients to focus on their business goals. Built on a high-growth SaaS model, Dadosfera offers tailored solutions that meet real business needs.

What sets Dadosfera apart is our innovative focus on speed, scalability, and flexibility, combining big data storage with advanced analytics to drive strategic decision-making. Leveraging years of experience with data platform implementations on foreign public clouds, we now deliver a cost-effective, locally adapted solution tailored for both Brazilian and global markets. By blending deep expertise with localized infrastructure, Dadosfera provides a powerful, efficient tool that optimizes corporate data management and drives data-driven transformation.

About the Job

As a Senior Technical Lead for AI, Agents, and Vector Systems, you will drive the design and development of advanced AI architectures, including LLMs, agent frameworks, and vector-based solutions. You will collaborate with engineering and product teams to define best practices, guide technical decisions, and deliver scalable, production-ready AI systems. This role offers the opportunity to lead innovation, run experiments, and shape the future of AI within the organization in a fully remote, senior-level contractor position.

Responsibilities

• Provide technical leadership for initiatives involving applied AI, intelligent agents, autonomous systems, and vector/embedding-based architectures.
• Design, evolve, and oversee solutions leveraging LLMs, RAG (Retrieval-Augmented Generation), advanced NLP pipelines, and modern agent frameworks.
• Define technical standards, governance, best practices, and guidelines for building scalable AI applications.
• Lead experimentation, applied research, and validation of models, algorithms, and advanced machine learning / deep learning approaches.
• Architect and implement vector databases, semantic similarity mechanisms, and optimized storage structures for information retrieval (IR).
• Support the team in building pipelines for training, fine-tuning, evaluating, and monitoring models.
• Collaborate with Data Engineering to integrate multiple data sources, prepare datasets, and optimize performance and scalability.
• Serve as a technical reference for scientists, engineers, and analysts, guiding architectural decisions and ensuring excellence in delivery.
• Communicate results, risks, progress, and strategies to executive stakeholders and cross-functional teams.
• Evaluate new technologies, run PoCs, and foster a culture of innovation and responsible AI adoption.
• Ensure AI solutions are designed and operated in cloud environments with scalability, cost efficiency, security, and observability in mind.

Minimum Qualifications

• Completed PhD in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Engineering, or related fields.
• Solid experience (5–7+ years) in AI, Machine Learning, NLP, or related areas, with a proven track record of complex, high-impact projects.
• Deep expertise with LLMs, embeddings, transformer models, RAG, and agent-oriented architectures.
• Advanced experience with vector databases.
• Proficiency in Python and modern AI/ML ecosystems (PyTorch, TensorFlow, LangChain, LlamaIndex, or equivalents).
• Hands-on experience with MLOps pipelines and model monitoring frameworks.
• Practical experience designing, implementing, and operating AI systems in production environments.
• Strong experience with cloud platforms (AWS, Azure, or GCP), including managed services for data, AI, and orchestration.
• Proven ability in technical leadership, strategic decision-making, and mentoring multidisciplinary teams.
• Advanced English for technical communication, research, and interaction with international stakeholders.

Preferred Qualifications

• Experience leading AI squads in tech startups or fast-paced innovation environments.
• Relevant scientific publications or open-source contributions in AI, NLP, or agent systems.
• Knowledge of distributed architectures, performance optimization, GPU computing, and advanced parallelism techniques.
• Familiarity with infrastructure tools (Kubernetes, Docker, Terraform) and modern data pipelines.

At Dadosfera, we celebrate diversity in all its forms and are committed to fostering an inclusive environment every day. We have zero tolerance for any form of discrimination. Do you share our values? Then don't wait—apply today