Senior AI Solutions Architect

2 semanas atrás

Brasil beBeeSoftware Tempo inteiro R$90.000 - R$120.000
Transform Customer Experiences with AI Innovation

Imagine working on cutting-edge technologies that redefine customer experiences. At the forefront of AI innovation, we're seeking a Senior Machine Learning Engineer to drive impactful solutions.

About the Role

This exciting opportunity focuses on designing and deploying AI systems using LLMs, RAG frameworks, and advanced agentic techniques. You will contribute to building scalable pipelines, integrating external data sources, and collaborating with teams to deliver high-impact AI-driven products.

Key Responsibilities
  • AI Development & Agentic Frameworks:
  • Design and implement Generative AI solutions utilizing RAG for summarization and knowledge retrieval.
  • Build and integrate LLM-based agents that utilize vector search technologies to provide dynamic, real-time responses.
  • Fine-tune and optimize models for specific business needs and tasks.
  • System Design & Scalability:
  • Contribute to building scalable, distributed systems that integrate machine learning pipelines.
  • Translate high-level designs into detailed solutions, including mock-ups, pseudo-code, and modular components.
  • Design and implement MVPs to validate and refine AI-driven features.
  • Collaboration & Integration:
  • Support architectural decisions to ensure alignment with both functional and non-functional requirements.
  • Participate in code reviews and ensure adherence to best practices.
  • Leadership & Mentorship:
  • Drive technical direction for large-scale AI initiatives and mentor junior engineers.
  • Establish best practices for building and maintaining AI-driven systems.
Requirements
  • 6+ years of experience in machine learning engineering, with a 2+ years focus on Generative AI and NLP.
  • Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and NLP libraries like Hugging Face Transformers.
  • Hands-on experience with RAG frameworks, vector search tools, and knowledge grounding techniques.
  • Strong understanding of software design patterns, disaster recovery strategies, and non-functional requirements.
Preferred Qualifications
  • Experience with multi-modal models and advanced optimization techniques.
  • Experience with Generative AI models (e.g., GPT, Gemini) and their fine-tuning.
  • Contributions to open-source projects or AI research publications.
  • Strong problem-solving and debugging skills in distributed environments.
Benefits

We offer a competitive compensation package, performance-based incentives, maternity and parental leave, PTO, health benefits, and more.

Equal Opportunity Employer

We are an Equal Opportunities Employer – By Choice. We believe everyone deserves equal opportunities and inclusive work environments.

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