Senior AI Platform Engineer (Tech Lead)

Moring Ai•Alpharetta, GA

3d•Onsite

About The Position

Moring.ai is hiring a hands-on Tech Lead to lead a team building an AI platform for a large financial services enterprise. The platform enables developers to build and deploy agentic AI workflows—Python applications that call LLMs, use tools, and run as agents on Kubernetes. It includes an LLM gateway, agent runtime, MCP servers, skills registry, retrieval, evaluations, observability, and governance. The Tech Lead will write a substantial portion of the production code, review the team's work, break down work, and keep delivery on track. The architect sets the overall design; this role turns it into a shippable platform. The work spans backend services and APIs, developer-facing tools, evaluation systems, deployment into the customer's cloud environment, and production operations. The role also involves working directly with customer engineers in design sessions, demos, and security reviews, and mentoring the team.

Requirements

7–9 years of software engineering experience shipping production systems in backend, platform, or full-stack roles.
Expert Python skills, including experience building APIs and services with FastAPI or a comparable framework, and familiarity with Python testing and packaging.
Strong software fundamentals, including data structures, API design, distributed systems, databases, concurrency, and security basics.
Ability to design and build APIs and backend systems end to end.
Good working knowledge of AWS, including EKS or ECS, Lambda, IAM, and networking; Kubernetes; and some infrastructure-as-code such as Terraform or CDK.
Hands-on experience building agents, RAG pipelines, or LLM applications; familiarity with major model APIs such as Anthropic, OpenAI, or Bedrock, and at least one agent framework.
Understanding of context management, token economics, and testing non-deterministic systems.
Familiarity with MCP.
Prior experience leading a small team, or experience as the engineer others rely on and readiness to lead.
Ability to explain technical trade-offs in plain language to non-engineers.
Must be authorized to work in the United States (GC/EAD/US Citizen).

Nice To Haves

Full-stack ability, including React or a comparable front-end technology.
Experience working inside large enterprises, especially in regulated industries such as financial services, insurance, or healthcare.

Responsibilities

Lead a team of 3–5 engineers by breaking down work, setting priorities with the architect and CEO, reviewing code, and keeping delivery on track.
Write production code across the platform, including the LLM gateway, agent runtime, MCP servers, skills and asset registry, evaluations, and APIs for deploying agents.
Design and build Python APIs and services with tests, observability, clean interfaces, and clear error handling.
Build developer-facing platform tools such as a CLI, SDK, or web UI.
Set coding standards, the code review process, test strategy, and CI/CD pipeline, and maintain code quality.
Build and extend the evaluation harness so AI changes are supported by evidence before shipping.
Deploy reproducibly into customer environments, including AWS accounts, EKS clusters, private networks, and internal registries, without manual steps.
Work with customer engineers in design sessions, demos, and security reviews.
Own production operations, including participation in an on-call rotation and performance and cost tuning.
Mentor team engineers and improve their engineering and AI practices.