Software Engineer – AI Products

Job not on LinkedIn

🔥 30 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🗣️🇧🇷🇵🇹 Portuguese Required

Where this job comes from

Posted on Conexa Saúde's careers page, not through a job board

First seen by Remote Rocketship 30 minutes ago

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Logo of Conexa Saúde

Conexa Saúde

201 - 500 employees

Founded 2017

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Secondary Market - Conexa Saude on 2024-09

Healthcare • Consulting • Logistics

Conexa Saúde is a Brazilian digital healthcare platform and telemedicine provider that connects patients, employers, health plan operators and health professionals through a mobile and web app. It offers 24/7 virtual urgent care, scheduled specialist consultations, mental health and multidisciplinary services, population-health management, and employer-oriented benefits and analytics, using proprietary technology and AI features to improve access, engagement and efficiency.

📋 Description

• Develop, enhance, and maintain Conexa AI’s core services, focusing on accuracy, scalability, security, and observability • Design and implement generative and agentic AI features in production, including agents, RAG pipelines, workflow orchestration, LLM integrations, and integrations with external tools via MCPs • Build and evolve multi-stack distributed systems using Node.js, Python, and Java, including RESTful APIs, WebSockets, and streaming pipelines • Integrate microservices, legacy systems, and AI platforms, ensuring consistency, resilience, and traceability • Work with message queues and event-driven architectures for asynchronous processing and orchestration of conversational and agentic workflows • Model, optimize, and maintain relational, non-relational, and vector databases, including embeddings, caching, and eventual consistency • Contribute occasionally to the product front end using React/TypeScript • Investigate, diagnose, and resolve complex technical issues in multi-tenant production environments, including non-deterministic behavior in LLM-based systems • Ensure code quality through automated testing, agent quality evaluations (evals), and software engineering best practices • Identify and propose new applications of generative and agentic AI within the Conexa ecosystem • Rapidly prototype AI feature hypotheses, validating technical feasibility and business value • Participate in defining where and how AI should be applied to the team’s roadmap • Bring state-of-the-art AI knowledge and assess pragmatic adoption opportunities • Collaborate with Product, Design, QA, Data, and AI teams on integrated delivery and idea prioritization • Participate in agile ceremonies and contribute to the team’s technical and strategic evolution

🎯 Requirements

• Experience with Node.js and NestJS, strict TypeScript, and microservices architectures • Experience with Python (FastAPI or equivalent) applied to service and API development, especially in generative AI • Hands-on experience building AI agents, RAG pipelines, and LLM integrations in production • Familiarity with workflow orchestration and automation tools such as n8n or equivalent platforms • Knowledge of relational databases (PostgreSQL, MySQL), including data modeling, complex queries, and performance tuning • Experience with non-relational databases (MongoDB, Redis) and event-driven architectures (RabbitMQ, BullMQ) • Familiarity with vector databases and the principles of embeddings and semantic search • Experience designing and versioning RESTful APIs and WebSockets • Ability to read and enhance front-end code in React/TypeScript • Regular, advanced use of agentic AI tools such as Cursor, Claude Code, and Copilot, including environment customization with MCPs • Experience working with Scrum, Kanban, and multidisciplinary squads • Analytical, proactive, and highly accountable, with a strong sense of ownership • Strong communication skills and the ability to influence technical and product decisions in highly ambiguous environments • Previous experience driving AI initiatives from the ground up is a plus • Experience with observability for AI systems is a plus • Experience with AWS and cloud architecture is a plus • Experience in digital health, healthtech, or regulated domains is a plus • Active, up-to-date interest in generative and agentic AI research and developments is a plus

🏖️ Benefits

• CAJU card with a monthly credit of BRL 1,059.00 distributed across Meal, Food, Mobility, Health, Home Office, Culture, and Education categories • AMIL S450 health insurance plan – private room, with copay; extendable to eligible dependents • Omni Saúde: monthly balance of BRL 100.00 for purchasing prescription medications • Free access to the Conexa and Zenklub platforms, including online consultations • Childcare allowance in accordance with the applicable regional collective bargaining agreement • Extended maternity leave of 6 months • 30 days of paternity leave • SULAMERICA life insurance • Birthday month day off • TotalPass and Wellhub • Course discounts through educational partnerships • SESC benefits for employees and dependents • Transportation allowance, with a 6% salary deduction if elected

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