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Builds AI-powered agents and copilots to embed into Flock Freight’s operational workflows, improving decision-making, automating tasks, and driving measurable business impact by collaborating directly with business teams.
Builds and maintains AI-enabled apps, agents, and workflow automations for healthcare workflows, integrating LLMs, RAG systems, and enterprise tools to improve efficiency and knowledge reuse.
Build and deploy generative AI features (LLMs, RAG) and traditional ML models, owning the full lifecycle from data pipelines to production deployment.
Leads AI quality assurance and evaluation for enterprise systems, designing testing frameworks to validate reliability, security, and compliance of AI-generated outputs and workflows.
Build production-grade AI systems like copilots, RAG, and agents using LLMs and vector databases, deploying them in enterprise environments.
Oversee end-to-end delivery of enterprise AI solutions like AI Agents, Voice AI, and Generative AI apps, managing timelines, budgets, and cross-functional teams while ensuring customer satisfaction.
Design, train, and deploy AI/ML models and generative AI solutions using cloud-native platforms like GCP Vertex AI, Azure ML, or AWS SageMaker.
Design and implement AI solutions for banking, including RAG apps, AI agents, and analytics using Python, LangChain, and LLMs.
Scrum Master to lead agile teams building Merck’s data infrastructure, coordinating sprints and removing blockers for data context layer development.
Own the data context layer for Merck’s context-serving platform, defining product strategy and roadmap for healthcare data integration and context-aware services.
Build ML forecasting models and LLM pipelines to analyze tax-compliance support data, then translate insights into clear narratives for leadership.
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Job Category Software Engineering Job Details Principal Agentic Data Systems Engineer – Mexico City | Hybrid About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here,…
Lead Data Systems Engineer Mexico City | Full-Time Hybrid Department Overview The Enterprise Data & AI Solutions group is the organization’s strategic hub for cognitive automation. We move beyond traditional data…
Build and optimize data pipelines and retrieval systems for AI agents, ensuring scalable, high-quality data infrastructure that powers Salesforce’s AI-driven CRM platform.
Build and maintain a modern data stack (Airflow, Snowflake, Superset/Looker/HEX, Python) to transform raw data into analytics-ready marts and an AI-ready semantic layer for LLM querying.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Build and scale an enterprise AI platform that powers real-time competitive intelligence and sales automation via voice, video, and text in 50+ languages using LLMs, RAG, and cloud-native infrastructure.
Build and scale the enterprise AI platform that powers real-time competitive intelligence and human-quality AI agents across voice, video, and text in 50+ languages.
Build and lead full-stack apps using Next.js, TypeScript, and Supabase, integrating AI/LLM APIs and Google Maps for a product company in Mexico City.
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