AI Solutions Architect – Python, APIs, LLM Integrations
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Job Description
AI Solutions Architect handling client integrations and troubleshooting technical issues. Collaborating with AI engineering team to ensure successful adoption of AI-powered solutions.
Responsibilities:
- Support clients during MCP integrations and onboarding.
- Troubleshoot integration issues and identify root causes.
- Review logs, API responses, and implementation patterns.
- Work closely with AI engineers to resolve technical issues.
- Provide technical guidance and best practices to client teams.
- Participate in client calls as a technical advisor.
- Create and improve documentation, runbooks, and troubleshooting guides.
- Help identify recurring issues and opportunities for process improvement.
Requirements:
- 3+ years of experience in a Solutions Architect, Backend Engineer, Data Engineer, Technical Support Engineer, or similar role.
- Strong Python skills.
- Experience with APIs and system integrations.
- Familiarity with MCP (Model Context Protocol) or strong interest in AI integration technologies.
- Experience working with LLMs such as OpenAI, Claude, Gemini, or similar.
- Strong SQL skills.
- Experience troubleshooting production systems.
- Comfortable working directly with clients and technical stakeholders.
- Excellent communication and problem-solving skills.
Benefits:
- Monetary compensation
- Year-end Bonus
- IMSS, AFORE, INFONAVIT
- Major Medical Expenses Insurance
- Life Insurance
- Funeral Expenses Coverage
- TDU Membership
- MediAccess
- Health Check-Up Subsidy
- Preferential rates for car insurance
- Vacations
- Official Mexican Holidays
- Life Happens Days
- Bereavement Leave
- Civil Marriage Leave
- English Classes
- Certifications
- Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS)
- Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf)
- Taquitos Rewards
- Birthday Bonus
- Work-from-home Bonus
- Laptop Policy
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