CareerPlanSign in

Sr AI Engineer

São Paulo, Estado de São Paulo💼 Full-time🗓 2026-07-26 → 2026-09-24

Core

Design and deploy AI automation solutions using LLMs and generative AI to improve health and environmental outcomes.

Role type

Senior AI Engineer (Generative AI & Automation)

Builds

AI agents, automation pipelines, MCP servers, and enterprise integrations

Domain

Healthcare, Environmental Science, Enterprise Software

Deliverable

production ML models | product features | infrastructure

Required skills

LLMs (OpenAI, Claude, Gemini, Llama, Mistral), Prompt Engineering, MCP Server Development, Python, SQL, AWS Cloud, AI Agents, RAG pipelines

Preferred skills

LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, FastAPI, Amazon Bedrock, CI/CD, Docker, LLM evaluation frameworks, Workflow automation tools

Technologies

Python, SQL, AWS (Neptune, Bedrock, Lambda, S3, API Gateway, CloudWatch, IAM, Step Functions, ECS, EKS, SageMaker, Glue, Athena, OpenSearch), MCP, FastAPI, Flask, Django REST Framework, Airflow, Power Automate, n8n, Zapier

Responsibilities

Design, develop, and deploy AI automation solutions using LLMs and generative AI technologies; Build, configure, and integrate Model Context Protocol (MCP) servers and tools; Develop prompt engineering strategies for production-grade AI workflows; Create AI agents, automation pipelines, and orchestration flows; Build integrations with enterprise systems, APIs, databases, and cloud services; Design, load, and query knowledge graphs using AWS Neptune or other graph databases; Develop backend logic, data pipelines, and automation scripts using Python; Write and optimize SQL queries for data extraction, validation, transformation, and reporting; Apply basic machine learning concepts including classification, regression, clustering, feature engineering, and model evaluation; Support deployment, monitoring, testing, troubleshooting, and documentation of AI automation solutions; Ensure AI solutions are secure, scalable, explainable, maintainable, and aligned with enterprise standards; Collaborate with data engineering, application, infrastructure, architecture, security, and business teams; Leading and managing teams

Seniority

Senior, hands-on IC with leadership responsibilities

Sourced via adzuna · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.