Hybrid | AI/ML Engineer — $70–$200/hour

Job Description

**We are sharing a full-time opportunity for an experienced AI/ML Engineer with strong expertise in Python, large language models, retrieval-augmented generation, agentic systems, cloud AI infrastructure, and production-grade machine learning to contribute to secure, mission-critical AI initiatives.**

The role will focus on designing and deploying advanced AI systems using LLMs, RAG, multi-agent orchestration, secure cloud platforms, and robust data infrastructure. The ideal candidate combines deep hands-on engineering ability with strong systems thinking, production experience, and comfort working in highly regulated or security-sensitive environments.

**Key Responsibilities**

**LLM \& RAG Systems**

* 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
* Apply strong engineering standards to performance, scalability, and maintainability

**Agentic AI \& Multi-Agent Orchestration**

* Develop and orchestrate multi-agent systems using modern agent frameworks
* Work with platforms such as LangGraph, LangChain, or comparable tooling
* 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

**Secure Cloud AI Infrastructure**

* Deploy and integrate AI solutions within secure cloud environments
* Work with platforms such as AWS GovCloud, Google GovCloud, Azure IL5 , Vertex AI, and AWS Bedrock
* Design infrastructure appropriate for sensitive or highly regulated applications
* Apply secure engineering practices across development and deployment
* Collaborate with security teams to ensure technical solutions align with environment-specific requirements

**Data Pipelines \& Knowledge Infrastructure**

* 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
* Support reliable ingestion, transformation, and retrieval workflows

**APIs, Integrations \& Production Engineering**

* Build and maintain REST APIs and SDK integrations
* Connect AI models, external systems, and data services through reliable interfaces
* Apply modern software engineering and secure coding standards
* Implement and maintain CI/CD workflows
* Support deployment, monitoring, and operational reliability of production AI systems

**Cross-Functional Technical Leadership**

* Collaborate closely with product, security, engineering, and data teams
* Document technical decisions and architecture clearly
* Communicate complex technical concepts to both technical and non-technical stakeholders
* Contribute to engineering standards and architecture decisions
* Help translate mission requirements into secure and scalable technical solutions

**Ideal Profile**

* 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

**Engagement Details**

* Full-time engagement
* **Hybrid**
* **Compensation: $70--$200/hour**
* Work will involve production AI/ML engineering, LLM systems, RAG, agentic workflows, cloud deployment, data infrastructure, and secure technical integration
* Experience in government or highly regulated environments is particularly relevant
* Strong collaboration with product, security, engineering, and data teams is central to the role
* Technical scope may include mission-critical systems and environments with elevated security or compliance requirements
* Role responsibilities and technical priorities may evolve as projects and deployment requirements change

**About the Platform**

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy?