Backend Engineer (AI Agentic)

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Design and implement sophisticated AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, or Semantic Kernel, ensuring reliable and scalable agent behavior.
• Build, maintain, and optimize high-performance backend services and APIs using Python to support AI-driven applications and features.
• Develop and improve Retrieval-Augmented Generation (RAG) pipelines that provide AI agents with accurate, relevant, and context-aware information.
• Architect and manage vector database solutions such as Pinecone, Weaviate, or similar technologies to enable efficient similarity search and retrieval at scale.
• Integrate Large Language Models with internal APIs, external services, and other systems to expand agent capabilities and deliver complete AI-powered workflows.
• Collaborate closely with product owners, data scientists, and engineering teams to translate complex and evolving AI requirements into production-ready solutions.
• Contribute to technical decisions around architecture, performance, reliability, and scalability while helping establish robust engineering practices for AI systems.

Requirements:

• 6+ years of professional experience with Python and its ecosystem, including strong experience building robust backend services and APIs.
• 3+ years of hands-on experience with LangChain, LangGraph, Semantic Kernel, or comparable agentic AI frameworks.
• Strong understanding of agentic AI design patterns, autonomous workflows, and the practical integration of LLM capabilities into production systems.
• Proven experience developing and optimizing Retrieval-Augmented Generation (RAG) solutions and working with vector search technologies such as Pinecone, Weaviate, or similar platforms.
• Strong backend architecture and software engineering skills, with the ability to design scalable, reliable, and maintainable systems.
• Excellent English communication skills, both written and verbal, for technical collaboration, documentation, meetings, and interviews.
• A highly collaborative mindset, with the ability to work effectively across engineering, product, and data teams while navigating ambiguous and rapidly evolving technical challenges.
• Experience with Kubernetes or Docker, advanced prompt engineering, LLM fine-tuning, Pandas or Spark, and LLM monitoring tools such as LangSmith is considered a plus.

Benefits:

• 100% remote full-time contractor opportunity from Brazil.
• Opportunity to work on cutting-edge AI projects involving autonomous agents, LLMs, RAG, and intelligent backend architectures.
• International collaboration with distributed teams and exposure to challenging software engineering and AI use cases.
• Consistent collaboration with teams aligned to Central Time (CT), including key ceremonies, stand-ups, and technical sessions.
• Opportunity to work closely with product owners, data scientists, and experienced engineers in a collaborative environment.
• Exposure to modern AI frameworks, vector databases, cloud infrastructure, and emerging AI engineering practices.
• Daily professional communication and technical collaboration in English.