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AI Software Engineer
WerecruiterAI Software Engineer developing a SaaS product in a startup. Collaborating with the Product Manager to enhance the system architecture and engineering based on AI.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI-assisted software development, including experience with LLMs, REST API development, and automation of development processes. Strong technical communication skills and a proactive approach to knowledge sharing and continuous learning are essential.
Highest-signal resume keywords
Experience With LLMsREST API DevelopmentPrompt EngineeringAutomation Of Development ProcessesKnowledge Of Software Engineering Best Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentREST API DevelopmentPrompt EngineeringAutomationTechnical DocumentationKnowledge Base DevelopmentAI Tools AdoptionCode WritingTechnical Standards DefinitionSoftware Architecture Participation
Soft Skills
Intellectual CuriosityContinuous LearningCritical ThinkingProactivityExcellent Technical Communication
Tools & Technologies
LLMsVS CodeGitHub CopilotAzure DevOpsWindsurfCursorGit
Certifications & Qualifications
Bachelor's Degree In Computer ScienceBachelor's Degree In Information SystemsBachelor's Degree In Engineering
Industry Keywords
AI-Assisted Software DevelopmentSoftware Engineering Best PracticesAPI DesignKnowledge SharingEngineering Productivity
Tech Stack
Tools & technologiesAzure
About the role
Key responsibilities & impact- Work on AI-assisted software development.
- Design, develop and maintain Skills, Rules, Agents and other artifacts used by AI tools.
- Build reusable knowledge bases for consumption by AI models.
- Organize technical documentation optimized for use by LLMs.
- Create automations to reduce manual tasks and increase engineering productivity.
- Continuously research new AI technologies and tools applied to software development.
- Participate in software architecture and engineering decisions.
- Support the definition of technical standards and development best practices.
- Produce clear, organized and reusable technical documentation.
- Share technical knowledge through training, documentation and hands-on demonstrations.
- Assist developers in adopting AI tools to improve productivity and quality.
- Contribute to the ongoing evolution of the company's software engineering.
Requirements
What you’ll need- Bachelor's degree (in progress or completed) in Computer Science, Information Systems, Engineering, or related fields;
- Previous experience writing code for software development.
- Experience using LLMs (Claude, Gemini or similar).
- Experience using IDEs (VS Code, Cursor).
- Experience with Prompt Engineering.
- Experience with code-related tools (GitHub Copilot, Azure DevOps, Windsurf or similar).
- Experience with Git.
- Experience developing REST APIs.
- Experience automating development processes.
- Knowledge of software engineering best practices.
- Knowledge of API design.
- Additionally, we consider the following competencies important:
- Intellectual curiosity.
- Continuous learning.
- Research-oriented profile.
- Innovative mindset.
- Critical thinking.
- Willingness to experiment with new technologies.
- Excellent technical communication.
- Knowledge sharing.
- Proactivity.
- Autonomy.
- Analytical mindset.
- Systems thinking.
- Genuine interest in AI applied to engineering.
- Alignment with company values.
Benefits
Comp & perks- Employment model: Contractor (PJ) + benefits
- Work format: Hybrid — Vitória, Espírito Santo, Brazil