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
• 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
• 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
• 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
• 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
• 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
• 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
We use modern, best-in-class technologies. Here's what you'll work with:
• 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
• Primary: Python (FastAPI, Flask)
• Secondary: Node.js
• Testing: Pytest, Coverage.py, Ruff
• 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)
• 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
• Monitoring: CloudWatch, Azure Monitor, Prometheus, Grafana
• Error Tracking: Sentry
• Auth: OAuth2/JWT, Cognito, Azure AD B2C
• 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
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
We are committed to building an inclusive, diverse, and equitable workplace where everyone can grow, contribute, and make an impact.
Follow us on LinkedIn & Instagram to explore our culture, values, and the people behind our AI-powered innovation. 🚀