Senior Forward Deployed AI Engineer at Moring AI
- Location
- Atlanta, United States
- Compensation
- $200k-$240k + Equity
Moring AI is looking for a Senior Forward Deployed AI Engineer in Atlanta to bridge the gap between cutting-edge AI and enterprise production. This isn't a role for building "slideware"—you'll be shipping agents and RAG systems live inside the private clouds of regulated, Fortune 500 organizations.
With $200k-$240k total compensation and meaningful equity in a profitable, early-stage startup, you'll work directly with the CTO to build core platform primitives and lead on-site client integrations. If you have 8+ years of AWS experience and a year of deep AI building, join a lean team where your work reaches serious scale fast.
What's the next step?
Moring AI are hiring from Jack's network. Talk to Jack for free and get a direct introduction to the team, if a good fit.
Role overview
As a Senior Forward Deployed AI Engineer at Moring AI, you will build and deploy LLM-powered applications directly within enterprise customer environments. Combining deep AWS infrastructure expertise with recent AI engineering depth, you’ll own the full stack—from agent orchestration and evaluation harnesses to on-site client integrations and technical discovery.
About Moring AI
Moring builds and deploys governed enterprise AI applications and agents for regulated industries, particularly financial services and other compliance-heavy organizations. Its AI Control Plane provides agent identity, access controls, policy enforcement, approval workflows, observability, and audit records. Moring’s engineers work within customers’ cloud or on-premises environments to design, build, deploy, and hand over production AI solutions for workflows such as onboarding, KYC, lending exceptions, reconciliation, incident triage, and root-cause analysis.
What you will do
- Design and ship production-grade agents and RAG pipelines using Anthropic, OpenAI, and Bedrock, while managing cost, latency, and reliability.
- Build the core AI platform, including model routing, agent orchestration with LangGraph or CrewAI, and automated evaluation harnesses wired into CI/CD.
- Lead customer deployments by integrating AI systems with enterprise identity (SSO), data warehouses, and systems of record like Salesforce and SAP.
Who this is a fit for
- 8-12 years of software engineering experience with deep AWS production expertise (EKS, Lambda, IAM) and a strong background in platform engineering.
- Demonstrable experience building LLM applications, agents, or RAG systems over the last year, with a focus on non-deterministic system evaluation.
- Strong customer-facing skills and the ability to navigate enterprise InfoSec reviews while communicating technical trade-offs to business stakeholders.
Why this role is remarkable
- True Production AI: Unlike many AI startups, Moring AI is already profitable and ships live agents into the private clouds of regulated enterprises, not just demos.
- End-to-End Ownership: You will drive architecture for AI platform primitives, model-access layers, and automated evaluation harnesses while working directly with the founder and CTO.
- High-Impact Fieldwork: You’ll spend up to 30% of your time embedded with client teams, solving complex security and integration challenges for Fortune 500 organizations.
How Jack & Jill work together
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI agent for hiring, working for the company. She recruits from Jack’s network.
If your profile’s a match and Moring AI wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.