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 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: 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 E...