Senior Data Engineer | Generative AI | Conversational Agents

Come work at NAVA 🚀

We are looking for a Senior Data Engineer | Generative AI to join a strategic project in the insurance sector, leading the development of intelligent conversational agents and solutions based on Generative Artificial Intelligence.

The professional will be responsible for designing AI architectures, developing conversational agents for digital channels, implementing LLMOps practices, and integrating solutions into corporate systems, ensuring scalability, security, and excellence in the user experience.

Responsibilities:

• Develop and evolve conversational agents for the company's digital channels, with an initial focus on WhatsApp (claims and assistance), expanding to collections processes;
• Design multi-agent system architectures, including orchestrators, specialized agents, and message categorization;
• Integrate agents using MCP (Model Context Protocol) or equivalent frameworks;
• Participate in AI architecture definitions, supporting the team in technical decisions and disseminating best practices;
• Implement LLMOps and observability practices, monitoring quality, latency, token consumption, and costs;
• Define continuous evaluation mechanisms, prompt regression tests, and guardrails for security, mitigating hallucinations and ensuring fallback to human support;
• Integrate solutions into corporate systems via REST APIs, queues/events, and knowledge bases;
• Ensure compliance with LGPD (Brazilian General Data Protection Law), security policies, and platform quality standards.

Requirements:

• Solid experience developing AI agents in production environments;
• Experience integrating conversational channels, preferably WhatsApp Business API (Meta Cloud API, Twilio, Infobip, Zenvia, or similar);
• Expertise in LLMs, advanced Prompt Engineering, and RAG architecture;
• Experience with multi-agent architecture (orchestration, routing, and agent specialization);
• Knowledge of MCP (Model Context Protocol) or equivalent frameworks;
• Advanced Python and API development with FastAPI or similar;
• Experience with LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel;
• Knowledge of Function Calling, memory management, and conversational state;
• Experience with vector databases (pgvector, Pinecone, Azure AI Search, OpenSearch), as well as chunking, embeddings, and reranking strategies;
• Experience with cloud AI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI;
• Knowledge of Git, Docker, and CI/CD.

Preferred Qualifications:

• Experience with AI governance and risk management for agents in production;
• Background in the insurance, financial, or highly regulated sectors;
• Knowledge of LGPD, SUSEP, CNSP, EU AI Act, and regulations related to AI;
• Experience with Databricks Genie;
• Knowledge of open-source models (Llama, Mistral) and fine-tuning or distillation techniques;
• Experience with LLM observability tools such as Langfuse, LangSmith, Arize, and Weights & Biases;
• Experience with voice agents, intelligent IVR, and platforms like Genesys, Salesforce Service Cloud, and Zendesk;
• Knowledge of data engineering applied to building knowledge bases.

Profile:

We are looking for a proactive professional with an ownership mindset and autonomy to work in an environment of constant innovation. Strong communication skills, the ability to translate technical concepts for business areas, organization in documenting architectural decisions, and experience in agile teams collaborating with multiple stakeholders are essential.

Want to be part of it?

Submit your resume and come join the NAVA team!