Lead Engineer

The Keenfolks; Ciudad de México; Híbrido; MXN 100,000 - 140,000; Jornada completa

Descripción de la vacante

A fast-growing AI marketing agency in Ciudad de México seeks a Principal / Lead Engineer to shape technical vision and build AI-driven marketing platforms. This role includes architectural leadership and hands-on development, leveraging modern technologies like Python and cloud services. Candidates should have significant experience in software engineering, strong leadership, and communication skills in both English and Spanish. This position offers competitive compensation and a flexible hybrid work environment.

Servicios

Competitive compensation

Hybrid flexibility

Professional development budget

Formación

• 7 years of software engineering experience with increasing technical leadership.
• Strong Python expertise with modern frameworks (FastAPI, Flask).
• Production cloud experience designing and deploying scalable systems.

Responsabilidades

• Design scalable cloud architectures for AI-powered marketing platforms.
• Build core platform components using Python and implement production-ready APIs.
• Lead technical discussions with international clients.

Conocimientos

Software engineering experience

Python expertise

Fluent English & Spanish

DevOps & Infrastructure mastery

Data architecture experience

Herramientas

Docker

Kubernetes

Terraform

AWS

Azure

Descripción del empleo

The Opportunity

Join a fast-growing AI marketing agency at a pivotal moment. We're not just using AI we are 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 27001, 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 27001, 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

We use modern best‑in‑class technologies. Here’s what you’ll work with :

Cloud & Infrastructure

• Cloud: 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: — (no secondary listed)
• Testing: Pytest, 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 E…