Remote AI Engineering Manager – Payments & LLM Systems

Jobgether SRL; United States; Remote; USD 170,000 - 230,000; Full time

Benefits offered by this job

Vacation time

Remote work from anywhere

Health insurance support

Internet stipend

Mobile stipend

Stock options

Learning platform access

Diverse, dynamic team

Job summary

Jobgether SRL, on behalf of a partner in the United States, seeks an Engineering Manager AI to lead a team of 7–8 engineers focused on AI/ML, backend, and platform systems. The role blends hands-on technical depth with team leadership to guide architecture, delivery, and best practices in a fast-moving startup environment.

You will own scoping, costing, sequencing, and execution while aligning with Product, Operations, Modeling, and senior leadership.

Qualifications

• 8+ years of software engineering experience with 2–3 years in leadership.
• Proven experience building and shipping backend and/or ML systems at scale.
• Experience hiring, developing, and retaining engineers while balancing delivery objectives.
• Hands-on familiarity with modern AI/ML systems, including model training and serving.

Responsibilities

• Lead and grow a team of AI/ML, backend, and platform engineers, including hiring, performance management, coaching, retention, and career development.
• Coach engineers through technical designs, architecture decisions, code reviews, and complex engineering trade-offs.
• Establish and maintain high engineering standards across code quality, testing, CI/CD, and development practices.
• Own delivery planning for the team, including accurate costing, estimation, sequencing, prioritization, and accountability for commitments.
• Guide architecture for ML model lifecycle processes, including training, evaluation, monitoring, and retraining.
• Oversee LLM-powered workflows such as agent orchestration, RAG pipelines, vector database integrations, and related AI systems.
• Provide technical oversight for inference services supporting live payment routing, ensuring strict latency, reliability, and scalability requirements are met.
• Ensure AWS infrastructure, CI/CD, observability, dashboards, tracing, and on-call practices meet strong reliability and operational standards.
• Apply PCI-DSS and data-handling considerations to systems that interact with payment data.
• Translate product vision into executable technical roadmaps with timelines, scope, and trade-offs.
• Partner with Product, Operations, and Modeling leadership to align and feedback loops.
• Represent AI/ML engineering progress, priorities, risks, and blockers to senior leadership.

Skills

AI/ML systems

Backend architectures

Team leadership

Hiring & coaching

Go

Python

gRPC

REST APIs

Distributed systems

AWS (ECS/EKS)

CI/CD

LLM workflows

LangChain

RAG pipelines

Vector databases

Prompt engineering

Monitoring & observability

PCI-DSS / payments security

Payments systems

Tools

Terraform

Prometheus

Grafana

OpenTelemetry

CI/CD tooling

Job description

Jobgether SRL, on behalf of a partner in the United States, seeks an Engineering Manager AI to lead a team of 7–8 engineers focused on AI/ML, backend, and platform systems. The role blends hands-on technical depth with team leadership to guide architecture, delivery, and best practices in a fast-moving startup environment.

You will own scoping, costing, sequencing, and execution while aligning with Product, Operations, Modeling, and senior leadership.