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Lead Engineer at KEENFOLKS Join a fast‑growing AI marketing agency at a pivotal moment. We’re building proprietary platforms that transform how brands approach marketing. As Principal / Lead Engineer you will architect and build the technical foundation powering innovative AI‑driven marketing solutions for global clients. What You'll Do Strategic Architecture (35%) Design scalable, secure cloud architectures for AI‑powered marketing platforms across AWS, Azure, and GCP. Partner with enterprise clients as the technical counterpart to their solution architects and IT leadership. 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%) 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 set‑up—establish CI/CD pipelines, infrastructure‑as‑code (Terraform), and containerization (Docker / Kubernetes). Develop AI/ML solutions—implement GraphRAG pipelines, RAG architectures, and integrate LLM APIs into production systems. Perform 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 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 Build from scratch with modern tools and best practices. Work on genuinely innovative AI applications that create business value. Shape company culture and engineering practices from day one. Position yourself for long‑term leadership as we grow. Qualifications 7+ years of software engineering experience with increasing technical leadership. Fluent in English & Spanish (written and spoken). Strong Python expertise with 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 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 a 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 balances strategic thinking with coding. 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. Technology Stack 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, 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. Diversity Matters We are committed to building an inclusive, diverse, and equitable workplace where everyone can grow, contribute, and make an impact. #J-18808-Ljbffr
