Engineering Manager AI
Core
Lead a team of 7–8 engineers to build intelligent systems optimizing payment performance and powering AI-driven products.
Role type
Engineering Manager AI (hands-on leadership)
Builds
AI/ML systems, LLM-powered workflows, payment routing infrastructure
Domain
Fintech / Payments / AI
Deliverable
production ML models
Required skills
Team leadership, architecture design, delivery planning, ML model lifecycle management, LLM workflow orchestration, backend systems, AWS infrastructure, observability, PCI-DSS compliance
Preferred skills
Go, Python, gRPC, event streaming, PyTorch, TensorFlow, LangGraph, vector databases, Prometheus, Grafana, payments industry experience
Technologies
AWS (ECS/EKS, Terraform, RDS/Aurora, S3), Go, Python, gRPC, REST APIs, LangGraph, LangChain, RAG, vector databases, PyTorch, TensorFlow, XGBoost, scikit-learn, MLflow, Weights & Biases, Prometheus, Grafana, OpenTelemetry
Responsibilities
Lead and grow a team of AI/ML, backend, and platform engineers; Coach engineers through technical designs and architecture decisions; Establish engineering standards for code quality and CI/CD; Own delivery planning including costing and sequencing; Guide architecture for ML model lifecycle processes; Oversee LLM-powered workflows and agent orchestration; Provide technical oversight for inference services supporting live payment routing; Ensure AWS infrastructure and observability meet reliability standards; Apply PCI-DSS considerations to payment systems; Translate product vision into technical roadmaps; Partner with Product and Operations leadership; Represent team progress and risks to senior leadership.
Seniority
Manager, hands-on technical leadership (via careerplan.io/jobs/0651c9f2-3a1a-441e-b667-8af3247e065c-engineering-manager-ai-at-jobgether)
