Key Facts

Remote From:

Full time

English

Hard Skills

AI/ML Inference MLOps (Machine Learning Operations) Evaluation Projects Amazon Web Services gRPC Microsoft Azure Kubernetes Distributed Computing Continuous Monitoring Observability

Other Skills

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Team Leadership
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Team Effectiveness

Roles & Responsibilities

Extensive production AI/ML engineering experience
Real production LLM system ownership
Experience with RAG implementations and fine-tuning workflows
Cloud and infrastructure expertise with AWS, GCP, or Azure

Requirements:

Own production-scale AI/ML platform systems in enterprise environments
Lead architectural efforts across multiple teams
Drive implementation of MLOps tooling and cloud infrastructure
Ensure model monitoring and safety systems are in place

David Joseph & Company

Government Administration

About David Joseph & Company

David Joseph grew out of the realization that many organizations lack the in-house capacity to pursue and manage public sector clients effectively, despite providing ideal products for government buyers. Unlike private sector buyers, government procurement patterns aren’t driven to maximize revenue, but to implement policies which support citizens. As a result, companies that are familiar with supplying products to profit-driven organizations need separate, dedicated divisions in their organization that will orient themselves towards public sector considerations. This is where David Joseph comes in. David Joseph acts as your dedicated public sector division, allowing you to offload your public sector costs without interrupting your existing operations. Our team is made up of public sector specialists who understand the ins and outs of public sector contracts, from policy objective to contract award. David Joseph understands the process of obtaining and subsequently managing government contracts. Our people are adept at marketing, supplying, and tailoring your company’s products to meet the unique considerations of public sector organizations. Our firm supports organizations of all sizes, even ones that already have a base of existing contracts. It isn't enough for a company to pile up contracts for services with public sector entities. Companies need to understand how to maximize profit from awarded contracts once they get their foot in the door. To do this, they need David Joseph. Public sector contracts can be extremely valuable, and it’s important to recognize how competitive that makes the process for securing them. At David Joseph, we leverage our public sector expertise, and you take the shortcut to public sector success.

Company type: TPE

Industry: Government Administration

Founded: 2018

Company size: 2 - 10

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Job description

LO-01 | Principal Engineer — AI/ML Platform

Location: United States (Remote)

Employment Type: Permanent, Full-Time

Role Overview

Principal-level engineer owning production-scale AI/ML platform systems in enterprise environments. This role requires deep ownership of LLM production systems, cloud infrastructure expertise, MLOps tooling, and architectural leadership across multiple teams.

Requirements

Extensive production AI/ML engineering experience
Real production LLM system ownership (not research or prototype)
Specific experience with: RAG implementations, fine-tuning workflows, evaluation frameworks, guardrails and safety systems, model monitoring and drift detection
Cloud and infrastructure: AWS, GCP, or Azure, Kubernetes, distributed systems
AI/MLOps tooling: CI/CD for ML, experiment tracking, monitoring and observability
Team leadership: architectural ownership, multi-team influence, platform standards definition

Submittal Requirements

LinkedIn URL
Current location and time zone
Total years of engineering experience
Years of direct AI/ML production experience
Clear summary of LLM production ownership (real systems, not research)
Cloud and infrastructure stack details
AI/MLOps tooling experience
Team leadership scope
Comp expectations and availability

Note: Research-only or prototype-level experience will not qualify. Submittals must clearly demonstrate production-scale AI/ML ownership in enterprise environments.

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