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Tech Stack
Tools & technologiesJavaScriptNode.jsPythonTypeScript
About the role
Key responsibilities & impact- Lead client discovery sessions and AI readiness assessments to surface high-impact use cases
- Translate ambiguous business requirements into structured technical architectures and implementation roadmaps
- Act as a trusted advisor to senior client stakeholders, guiding strategic Agentic AI adoption decisions
- Facilitate workshops, design sessions, and architecture reviews with cross-functional teams
- Build and maintain proof-of-concepts and reference implementations that demonstrate business value
- Create and deliver live, interactive demos of agentic AI capabilities tailored to specific client contexts
Requirements
What you’ll need- 8 -10 + years of experience in solution architecture, software engineering, or technical consulting
- 2 + years hands-on experience building LLM-powered or agentic AI applications in production
- Fluency in Spanish and English
- Strong proficiency in Python; comfort with TypeScript/Node.js a plus
- Experience with vector databases (Pinecone, Weaviate, pgvector, Chroma)
- Familiarity with responsible AI principles and data privacy regulations (GDPR, CCPA)
Benefits
Comp & perks- Flexible, supportive environment prioritizing well-being
- Be Well programs to support financial, mental, physical, and social health
- Access to learning opportunities including certifications
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
solution architecturesoftware engineeringtechnical consultingLLM-powered applicationsagentic AI applicationsPythonTypeScriptNode.jsvector databasesresponsible AI principles
Soft Skills
client discoverystrategic advisoryworkshop facilitationcross-functional collaborationcommunication
