Lead Engineer

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… #J-18808-Ljbffr