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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack AI solution development, including integration with enterprise systems and APIs, while effectively managing stakeholder relationships and delivering impactful business outcomes. Proficient in transforming complex challenges into scalable solutions using AI frameworks and cloud technologies.
Highest-signal resume keywords
Full-Stack AI Solution DevelopmentAPI Development and IntegrationCloud Application Deployment (AWS, Azure, GCP)AI Frameworks (LangChain, LlamaIndex)Stakeholder-Facing Technical Delivery
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 EngineeringFrontend DevelopmentBackend DevelopmentPythonJavaScriptAI-Powered Application DevelopmentSystem ArchitectureProduction AI ExperienceRequirements GatheringTechnical Solution Delivery
Soft Skills
Systems ThinkingProduct MindsetAbility to Deliver Solutions QuicklyTransforming Ambiguous ChallengesDriving Adoption
Tools & Technologies
APIsEnterprise SystemsCloud TechnologiesVector DatabasesRAG PipelinesAgentic Workflows
Industry Keywords
AI Use CasesBusiness ImpactIntegration ChallengesTechnical OwnershipReusable Tools and Frameworks
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformJavaScriptPython
About the role
Key responsibilities & impact- Embed with business units across Content, Finance, Legal, Communications, Commercial Business, and other departments
- Identify high-value AI use cases and prioritize opportunities with measurable business impact
- Rapidly prototype, design, develop, and deploy full-stack AI solutions
- Own the process from discovery through production adoption
- Integrate AI solutions with enterprise data, APIs, internal platforms, third-party APIs, and business systems
- Navigate complex integrations, incomplete documentation, and access constraints
- Work directly with stakeholders to understand needs, support implementation, and drive adoption
- Balance scope, speed, and quality through strategic trade-offs and priority adjustments
- Contribute hands-on to development and troubleshooting
- Transform successful implementations into reusable tools, frameworks, playbooks, and building blocks
- Provide actionable feedback to engineering and platform teams on model strengths, limitations, and improvement opportunities
- Turn lessons learned into platform improvements and repeatable solutions for other business units
Requirements
What you’ll need- 5+ years of software engineering experience, including frontend, backend, API development, and system architecture
- 2+ years of production AI experience building and deploying AI-powered applications using LLMs, RAG pipelines, and agentic workflows
- 3+ years of stakeholder-facing technical delivery experience, including requirements gathering, use-case identification, and end-to-end technical solution delivery
- 3+ years of Python and/or JavaScript experience
- 2+ years of API and enterprise systems integration experience
- 2+ years of cloud experience deploying and maintaining applications using AWS, Azure, or GCP
- 1–2+ years of experience with AI frameworks and vector search, including LangChain, LlamaIndex, vector databases, or equivalent technologies
- 2+ years of end-to-end technical ownership experience
- Strong systems thinking, engineering fundamentals, and product mindset
- Ability to deliver solutions quickly
- Ability to transform ambiguous business challenges into scalable, production-ready solutions while balancing technical execution, business priorities, and user adoption
Benefits
Comp & perks- Competitive USD salary
- 100% remote work; ability to work from anywhere, with access to coworking spaces across LATAM
- Paid off and national holidays according to the employee’s country’s regulations, with full salary
- Sick leave
- Annual credit for work-life balance perks
- Team-building activities, coffee breaks, tech talks, and after-work gatherings
- Birthday week day off
- Wellness check-ins and professional growth support from the People Care team
- Flexible work model focused on outcomes and personal well-being