AI/ML Engineer

24-MAG

. Design, implement, and optimise production-grade AI/ML systems .

Posted 9/15/2026full-timeWashington, D.C. • District of Columbia • United StatesMid-LevelSenior💰 $70 - $200 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing production-grade AI/ML systems, with a strong focus on secure deployment practices and multi-agent orchestration. Proficient in building robust data pipelines and integrating AI solutions within cloud environments while ensuring compliance with regulatory standards.

Highest-signal resume keywords

Python ProficiencyProduction AI/ML DevelopmentMulti-Agent OrchestrationSecure Cloud DeploymentREST API Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML System DesignLarge Language ModelsRetrieval-Augmented GenerationPrompt EngineeringData Pipeline DevelopmentETL Workflow ManagementCI/CD ImplementationMetadata Catalogue DevelopmentAgent FrameworksSecure Coding Practices

Soft Skills

Strong Communication Skills

Tools & Technologies

AWS GovCloudGoogle GovCloudAzure IL5+Vertex AIAWS BedrockLangGraphLangChainAnthropic for GovOpenAI EnterpriseGrok Enterprise

Industry Keywords

Compliance-Sensitive EnvironmentsGovernmentDefenceRegulatory Standards

Tech Stack

Tools & technologies

AWSAzureCloudETLPython

About the role

Key responsibilities & impact

Design, implement, and optimise production-grade AI/ML systems
Build applications using large language models, retrieval-augmented generation, and prompt engineering
Evaluate and improve model behaviour across complex production use cases
Design reliable retrieval and grounding workflows
Develop and orchestrate multi-agent systems using modern agent frameworks
Design tool-use workflows and agent interaction patterns
Build reliable control logic for complex multi-step AI tasks
Evaluate agent behaviour, failure modes, and system-level trade-offs
Deploy and integrate AI solutions within secure cloud environments
Apply secure engineering practices across development and deployment
Collaborate with security teams to align technical solutions with environment-specific requirements
Build and maintain robust data pipelines for AI training and inference
Design and manage ETL workflows
Develop metadata catalogues, ontologies, and structured knowledge representations
Improve data quality, lineage, and accessibility across AI systems
Build and maintain REST APIs and SDK integrations
Connect AI models, external systems, and data services through reliable interfaces
Implement and maintain CI/CD workflows
Support deployment, monitoring, and operational reliability of production AI systems
Collaborate with product, security, engineering, and data teams
Document technical decisions and architecture clearly
Contribute to engineering standards and architecture decisions
Translate mission requirements into secure and scalable technical solutions

Requirements

What you’ll need

Strong proficiency in Python for production AI/ML development
Hands-on experience building production systems using LLMs, RAG, and prompt engineering
Experience with multi-agent orchestration, tool use, or agentic AI systems
Familiarity with LangGraph, LangChain, or comparable orchestration frameworks
Strong understanding of cloud AI services and secure deployment environments
Experience with AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock, or related platforms is highly relevant
Background building data pipelines, ETL systems, metadata catalogues, or ontologies
Strong experience with REST APIs and SDK integrations
Understanding of secure coding and modern DevOps practices, including CI/CD
Strong written and verbal communication skills
Experience with government, defence, highly regulated, or compliance-sensitive environments is advantageous
Familiarity with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise is beneficial
Knowledge of advanced API development and metadata or context-management platforms is a plus

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account 24-MAG Website LinkedIn All Job Openings 2 - 10 employees 🤝 B2B 💼 Consulting B2B
Consulting 24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth. AI/ML Engineer Job not on LinkedIn 🔥 54 minutes ago 🏢🏡 Washington, D.C. – Hybrid 💵 $70 - $200 / hour ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 👻 Ghost score 0% AWS Azure Cloud ETL Python Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, implement, and optimise production-grade AI/ML systems
Build applications using large language models, retrieval-augmented generation, and prompt engineering
Evaluate and improve model behaviour across complex production use cases
Design reliable retrieval and grounding workflows
Develop and orchestrate multi-agent systems using modern agent frameworks
Design tool-use workflows and agent interaction patterns
Build reliable control logic for complex multi-step AI tasks
Evaluate agent behaviour, failure modes, and system-level trade-offs
Deploy and integrate AI solutions within secure cloud environments
Apply secure engineering practices across development and deployment
Collaborate with security teams to align technical solutions with environment-specific requirements
Build and maintain robust data pipelines for AI training and inference
Design and manage ETL workflows
Develop metadata catalogues, ontologies, and structured knowledge representations
Improve data quality, lineage, and accessibility across AI systems
Build and maintain REST APIs and SDK integrations
Connect AI models, external systems, and data services through reliable interfaces
Implement and maintain CI/CD workflows
Support deployment, monitoring, and operational reliability of production AI systems
Collaborate with product, security, engineering, and data teams
Document technical decisions and architecture clearly
Contribute to engineering standards and architecture decisions
Translate mission requirements into secure and scalable technical solutions 🎯 Requirements
Strong proficiency in Python for production AI/ML development
Hands-on experience building production systems using LLMs, RAG, and prompt engineering
Experience with multi-agent orchestration, tool use, or agentic AI systems
Familiarity with LangGraph, LangChain, or comparable orchestration frameworks
Strong understanding of cloud AI services and secure deployment environments
Experience with AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock, or related platforms is highly relevant
Background building data pipelines, ETL systems, metadata catalogues, or ontologies
Strong experience with REST APIs and SDK integrations
Understanding of secure coding and modern DevOps practices, including CI/CD
Strong written and verbal communication skills
Experience with government, defence, highly regulated, or compliance-sensitive environments is advantageous
Familiarity with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise is beneficial
Knowledge of advanced API development and metadata or context-management platforms is a plus Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score View More Machine Learning Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Remote jobs Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources About us Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs