Desenvolvedor(a) Sênior Full Stack - AI Engineering
OtherAi Engineering
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Quick Summary
Overview
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Desenvolvedor(a) Sênior Full Stack - AI Engineering based in Brazil.
Technical Tools
OtherAi Engineering
This is a senior full-stack engineering role focused on building a conversational AI platform for the healthcare sector. You will develop end-to-end product capabilities across Java on the backend and React on the frontend. The role combines traditional software engineering with hands-on AI application development, including LLM orchestration, prompt engineering, structured outputs, RAG, guardrails, and quality evaluation. You will help build integrations that connect conversational experiences with existing scheduling systems and third-party APIs. The product is in an early stage, creating significant space for technical autonomy, architectural input, and ownership. AI-assisted development is an integral part of the team's daily workflow, with a strong emphasis on judgment, quality, and rigorous review.
- Build end-to-end product features using Java on the backend and React on the frontend, taking ownership across the full development lifecycle.
- Implement integrations with external scheduling APIs, including failure handling, retry mechanisms, consistency, and reliable data exchange.
- Design and develop conversational orchestration, defining how LLMs classify requests, extract information, generate responses, and determine when conversations should be transferred to human support.
- Model and evolve data persistence using both relational and non-relational databases, selecting appropriate approaches according to product and technical requirements.
- Develop messaging and asynchronous processing for operations that need to run independently of the active conversation.
- Write automated tests, participate actively in code reviews, and contribute to maintaining high engineering standards.
- Participate in architecture discussions and contribute technical reasoning to important product and engineering decisions.
- Investigate, troubleshoot, and resolve issues in production environments while maintaining system reliability.
- Use AI-assisted development tools thoughtfully and critically, reviewing generated code and outputs rigorously before integrating them into the product.
- Share technical context, collaborate closely with a small squad, and support less experienced team members through knowledge sharing and mentoring.
Requirements
~2 min read- Solid professional experience in software development with a track record of delivering and maintaining production applications.
- Strong hands-on expertise with Java backend development and React frontend development, with the autonomy to work effectively across both areas.
- Experience with Docker and containerization, plus familiarity with deployment environments such as Azure.
- Strong knowledge of relational databases, including data modeling, querying, and performance optimization.
- Experience with non-relational databases and a clear understanding of when NoSQL approaches are appropriate.
- Daily experience with AI-assisted software development using tools such as Claude Code, GitHub Copilot, Cursor, or equivalent solutions, combined with sound judgment about where AI accelerates development and where human review is essential.
- Deep knowledge of applied AI and LLM application engineering, including prompt design, structured outputs, RAG, guardrails, and quality evaluation.
- Experience consuming and integrating third-party APIs.
- Strong autonomy, with the ability to unblock yourself while recognizing when collaboration or support is needed.
- A strong quality mindset balanced with pragmatism and the ability to deliver without unnecessary perfectionism.
- Excellent collaboration and communication skills, particularly within a small, highly interactive engineering team.
- Genuine curiosity about applying AI to real-world products and customer experiences.
- Experience with conversational platforms such as Chatwoot, Rasa, Botpress, Dialogflow, or similar tools is a plus.
- Knowledge of the WhatsApp Business API (WABA), including templates, the 24-hour messaging window, and BSP integrations, is advantageous.
- Experience with Azure OpenAI or equivalent technologies is a plus.
- Experience working with healthcare products, sensitive data, and LGPD requirements is advantageous.
- Previous experience building products in an MVP or early-stage environment is a plus.
What We Offer
~2 min read✓Fully remote work model within Brazil.
✓Full-time employment opportunity.
✓Opportunity to work on a new conversational AI product with direct impact on patient and healthcare experiences.
✓Significant technical autonomy and ownership within an early-stage product environment.
✓Hands-on exposure to modern LLM application engineering and applied AI technologies.
✓Daily use of AI-assisted software development practices and tools.
✓Opportunity to work across Java, React, Azure, databases, APIs, messaging, and conversational AI.
✓Close collaboration within a small engineering squad where technical contributions and ideas are highly visible.
✓Opportunities for knowledge sharing, mentoring, and continuous professional development.
✓Inclusive environment that values diversity, respect, ethics, collaboration, and continuous learning.
✓Access to learning and development initiatives, technical communities, training programs, and educational partnerships.
Location & Eligibility
Where is the job
Brazil
Remote within one country
Who can apply
BR
Listing Details
- Posted
- September 28, 2026
- First seen
- September 28, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 1
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- September 29, 2026
Signal breakdown
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