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Senior AI Engineer
FCamara Consulting & Training. Consultatively map requirements with clinical, operational, and administrative teams, understanding the problem before proposing solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack engineering with a focus on Node.js, .NET, and React, while leading the development of generative AI solutions and managing end-to-end delivery through CI/CD pipelines in Azure DevOps and GCP. Capable of translating complex technical concepts for diverse stakeholders and driving initiatives from conception to production.
Highest-signal resume keywords
Full-Stack EngineeringGenerative AI SolutionsNode.js DevelopmentAzure DevOps ProficiencySolution Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Node.jsReact.NETREST API IntegrationsGenerative AICI/CD Pipeline ManagementSolution ArchitecturePrompt EngineeringVibecodingLangChain
Soft Skills
Excellent CommunicationInnovative MindsetAutonomyConsultative SkillsDelivery Focus
Tools & Technologies
Azure DevOpsGoogle Cloud PlatformClaude EnterpriseAI APIsMVP Development
Industry Keywords
HealthcareRegulated EnvironmentsData SecurityAI GovernanceBrazil’s LGPD
Tech Stack
Tools & technologiesAzureCloudGoogle Cloud PlatformJavaScriptNode.jsReact.NET
About the role
Key responsibilities & impact- Consultatively map requirements with clinical, operational, and administrative teams, understanding the problem before proposing solutions
- Design and build generative AI solutions with Claude Enterprise for real-world use cases
- Develop and integrate solutions using Node.js, .NET, and React
- Lead end-to-end delivery through the CI/CD pipeline in Azure DevOps, with infrastructure on GCP
- Serve as a technical and consultative point of reference for engineering teams and non-technical business stakeholders
- Monitor and evolve solutions based on real-world usage by business teams
- Develop prototypes and MVPs involving generative AI, automation, and integrations
- Integrate internal systems, databases, web applications, and AI tools
- Support the technical design of agents, copilots, assistants, and intelligent workflows
- Assess the technical feasibility, effort, risks, and architecture of solutions
- Support best practices for security, logging, authentication, and the secure use of data
- Document solutions and support the evolution of MVPs into production
Requirements
What you’ll need- Strong backend development experience with Node.js and/or .NET
- Strong frontend development experience with React
- At least 7 years of technical experience in full-stack engineering and REST API integrations
- Hands-on experience building generative AI solutions in an enterprise context, including Claude Code and Cowork, applied prompt engineering, integrations, agents, and enterprise guardrails
- Proficiency in Azure DevOps, including pipelines, releases, boards, and deployment governance
- Knowledge of Google Cloud Platform (GCP) for AI application infrastructure, including deployment, storage, and monitoring
- Experience with solution architecture and senior-level software engineering best practices
- Ability to independently lead initiatives from start to finish
- Experience with vibecoding in an enterprise context
- Experience creating AI agents
- Ability to understand the business, validate As-Is processes, and propose value-generating To-Be processes
- Experience creating rapid prototypes and evolving them into functional MVPs
- Familiarity with LangChain, LangGraph, or similar frameworks
- Knowledge of generative AI, LLMs, prompt engineering, and AI APIs
- Autonomy and a strong delivery focus
- Ability to translate technical topics for non-technical audiences
- Innovative mindset and the ability to take calculated risks
- Excellent communication skills at both executive and operational levels
- Preferred: experience in healthcare, hospital, or regulated environments; consultative work with business teams; participation in AI squads or cells; knowledge of RAG, embeddings, vector databases, Brazil’s LGPD, data security, and AI governance
Benefits
Comp & perks- This position is also open to people with disabilities (PwD)
- Social development initiatives and programs, including the Orange Juice tech community, training programs, leadership school, and partnerships with NGOs and EdTech companies