Interested? Send your CV to antonio@rehva.com.br

Position Summary

We are seeking highly experienced Senior AI/ML Engineers (6+ years) to design, build, and deploy next-generation Agentic AI and Generative AI solutions. The ideal candidate will have strong hands-on expertise in LLM application development, particularly using LangChain, LangGraph, RAG, and Graph RAG frameworks, along with advanced Python engineering skills. This role is suited for professionals who have built real-world AI products and can drive innovation in fast-paced enterprise environments.

Why This Role?

• Work on cutting-edge Agentic AI + Enterprise GenAI systems;
• Opportunity to build scalable, real-world AI products using LangGraph + Graph RAG;
• High-impact role with strong ownership and innovation culture.

Key Responsibilities and Duties

• Design and develop scalable Agentic AI solutions, including multi-agent workflows and autonomous AI systems;
• Build and optimize RAG pipelines, including advanced implementations such as Graph RAG for enterprise knowledge retrieval;
• Develop LLM-powered applications using: LangChain / LangGraph / Vector databases and retrieval frameworks;
• Rapidly prototype and deploy AI services using FastAPI and modern Python frameworks;
• Work with cutting-edge AI ecosystems including: OpenAI APIs / Hugging Face Transformers / PyTorch;
• Collaborate with cross-functional teams to translate business needs into AI-driven technical solutions;
• Lead solution development for client-facing AI transformation initiatives;
• Mentor junior engineers and contribute to building a strong AI innovation culture;
• Stay current with the latest advancements in Agentic AI, LLM orchestration, and retrieval architectures.

Technical Requirements and Qualifications

• 6+ years of professional experience in AI/ML engineering;
• Strong proficiency in Python (advanced level required);
• Proven expertise in: LangChain / LangGraph / RAG implementations / Graph RAG / Knowledge Graph-based AI systems;
• Solid foundation in Machine Learning, Deep Learning, and NLP;
• Experience deploying AI/ML solutions on cloud platforms such as AWS, Azure, or GCP;
• Strong product-building mindset with the ability to deliver production-grade AI systems;
• Comfortable working in environments requiring fast execution, experimentation, and continuous learning;
• Client-facing experience and technical leadership are strong pluses.
  

Contract Type: Independent Contractor (PJ)

Work Model: Fully Remote