Lead Engineer

Keenfolks; Xico; Híbrido; MXN 1,437,000 - 1,797,000; Jornada completa

Descripción de la vacante

An innovative AI marketing agency is seeking a Principal / Lead Engineer to architect and build marketing solutions using cutting-edge technologies. This role involves hands-on development in Python and making critical technology decisions while mentoring a growing engineering team. The ideal candidate has extensive software engineering experience and fluency in both English and Spanish for engaging with international clients. This is a unique opportunity to shape the technical vision of a fast-growing company.

Servicios

Competitive compensation

Hybrid work flexibility

Professional development budget

Cutting-edge technology access

Clear growth path to VP of Engineering

Formación

• 7+ years of software engineering experience with increasing technical leadership.
• Fluent in English & Spanish (written and spoken).
• Production cloud experience designing and deploying scalable systems.

Responsabilidades

• Architect and build AI-driven marketing solutions.
• Design scalable, secure cloud architectures.
• Build and mentor a world-class engineering team.

Conocimientos

Python expertise

Cloud architecture experience

DevOps mastery

Data architecture knowledge

Communication skills in English & Spanish

Herramientas

AWS

Azure

Terraform

Docker

Kubernetes

Descripción del empleo

The Opportunity

Join a fast-growing AI marketing agency at a pivotal moment. We're not just using AI— we're building proprietary platforms that transform how brands approach marketing.

As our Principal / Lead Engineer

You'll architect and build the technical foundation that powers innovative AI-driven marketing solutions for global clients. This isn't a typical engineering role.

You'll have the unique opportunity to:

• Shape the technical vision of a growing AI company from the earliest stages
• Work with cutting-edge AI technologies (GraphRAG, LLMs, generative AI pipelines) in production
• Balance hands‑on development (65% coding) with strategic architecture decisions (35%)
• Partner directly with enterprise clients—including Fortune 500 companies—as their technical counterpart
• Build and mentor a world‑class engineering team as we scale

What You'll Do

Strategic Architecture (35% of time)

• Design scalable, secure cloud architectures for AI‑powered marketing platforms across AWS / Azure / GCP
• Partner with enterprise clients as the technical counterpart to their Solution Architects and IT leadership teams
• Make critical technology decisions, balancing rapid MVP delivery with long‑term scalability
• Evaluate AI tools and infrastructure—build vs. buy decisions for AI models, commercial APIs vs. open‑source solutions
• Plan for compliance and security—prepare for ISO, GDPR, and CCPA certifications
• Own the technical roadmap aligned with business objectives and market needs

Hands‑On Development & Technical Leadership (65% of time)

• Build core platform components using Python (FastAPI / Flask), designing and implementing production‑ready APIs
• Architect end‑to‑end data pipelines—from ingestion through processing to AI model integration
• Lead infrastructure setup—establish CI / CD pipelines, infrastructure‑as‑code (Terraform), containerization (Docker / Kubernetes)
• Develop AI / ML solutions—implement GraphRAG pipelines, RAG architectures, and integrate LLM APIs into production systems
• Code review and mentor engineers while maintaining high code quality standards
• Drive engineering excellence—establish development workflows, testing practices, and modern Agile / Lean methodologies

Team Building & Culture

• Lead by example through hands‑on contributions and code reviews
• Establish engineering best practices and quality standards that scale
• Build and mentor the engineering team as we grow

What We're Looking For

• Must‑Have Experience:
  • 7+ years of software engineering experience with increasing technical leadership
  • Fluent English & Spanish (written and spoken)—you'll engage daily in complex technical discussions with international clients and stakeholders
  • Strong Python expertise with modern frameworks (FastAPI, Flask) and API design (REST, GraphQL)
  • Production cloud experience designing and deploying scalable systems on AWS, Azure, or GCP
  • DevOps & Infrastructure mastery—Docker, Kubernetes, CI / CD, infrastructure‑as‑code (Terraform)
  • Data architecture experience—designing data pipelines, ETL processes, and working with both SQL and NoSQL databases
  • Track record of building 0‑to‑1 products or leading technical initiatives in startup / scale‑up environments
• Highly Desired (What Makes You Stand Out):
  • AI / ML production experience—especially with LLMs, RAG architectures, GraphRAG, or generative AI pipelines
  • Experience as a technical liaison to enterprise clients or as Solution Architect on large‑scale projects
  • Vector databases (FAISS, Weaviate, Qdrant) or graph databases (Neo4j) experience
  • Background in marketing tech, adtech, or SaaS platforms
  • Security & compliance knowledge—ISO / SOC 2, GDPR, or similar frameworks
  • Open‑source contributions or technical writing / speaking experience
• Personal Attributes:
  • Entrepreneurial mindset—comfortable with ambiguity and excited about building from scratch
  • Hands‑on builder who can balance strategic thinking with getting into the code
  • Excellent communicator—able to explain complex technical concepts to both technical and non‑technical audiences
  • Quality‑driven with strong opinions about best practices but pragmatic about trade‑offs
  • Natural mentor who enjoys helping others grow technically
  • Curious about AI and passionate about its practical applications in business

Our Technology Stack

Cloud & Infrastructure: AWS & Azure (multi‑cloud ready)

IaC: Terraform, Bicep

Containers: Docker, ECS (Fargate), EKS / AKS

CI / CD: GitHub Actions, Azure DevOps

Secrets: AWS Systems Manager, Azure Key Vault

Backend & APIs: Primary: Python (FastAPI, Flask), Secondary: Node.js

Testing: Pytest, Coverage.Py, Ruff

Data & Databases: Relational: PostgreSQL (RDS / Azure Database), Caching: Redis (ElastiCache), Object Storage: S3, Azure Blob Storage

ETL: Airbyte, dbt, Azure Data Factory

Processing: Apache Spark (EMR / Azure Synapse)

AI & Machine Learning: LLMs—OpenAI (GPT‑4o), Azure OpenAI, Anthropic; RAG Frameworks—GraphRAG with Neo4j, LangChain, LlamaIndex; Vector DBs—FAISS, Weaviate, Qdrant; ML Deployment—SageMaker, Azure ML, Hugging Face; Classic ML—scikit‑learn, spaCy, XGBoost

Observability & Security: Monitoring—CloudWatch, Azure Monitor, Prometheus, Grafana; Error Tracking—Sentry

Auth: OAuth2 / JWT, Cognito, Azure AD B2C

What We Offer

• Competitive compensation reflecting your senior expertise and leadership impact
• Hybrid flexibility—work from home 3 days with strategic 2 days in‑office collaboration
• Professional development budget for courses, conferences, and certifications
• Cutting‑edge technology—work with the latest AI / ML tools and modern cloud infrastructure
• High autonomy—own technical decisions and drive architectural direction
• Direct impact—see your work go from idea to production in weeks, not months
• International exposure—collaborate with clients and teams across Europe and the Americas
• Clear growth path—opportunity to grow into VP of Engineering as we scale

Why Join Now

This is a rare opportunity to be a founding technical leader at a company positioned at the intersection of two explosive markets: AI and marketing technology.

You won't be maintaining legacy systems or navigating corporate politics.

You'll be :

• Building from scratch with modern tools and best practices
• Working on genuinely innovative AI applications that create business value
• Shaping company culture and engineering practices from day one
• Positioning yourself for long‑term leadership as we grow

Diversity Matters

We are committed to building an inclusive, diverse, and equitable workplace where everyone can grow, contribute, and make an impact.

Want to Know More?

Follow us on LinkedIn & Instagram to explore our culture, values, and the people behind our AI‑powered innovation.