AI/ML Engineer

Remotebridge; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Remotebridge is hiring an AI/ML Engineer to develop and optimize production-grade AI systems using LLMs, RAG, and multi-agent orchestration. You will design models, build robust data pipelines, and deploy on secure cloud environments with a focus on scalable, compliant solutions.

Join a team delivering mission-critical government initiatives, leveraging LangGraph, LangChain, and modern DevOps practices. Strong Python skills and API/SDK expertise required.

Qualifications

• Proficiency in Python for AI/ML development.
• Hands-on experience with LLMs, RAG systems, and prompt engineering.
• Experience with multi-agent orchestration and tool usage.
• Strong understanding of cloud AI services (GovCloud, Vertex AI, Bedrock).
• Experience building data pipelines, ETL processes, ontologies.

Responsibilities

• Design, implement, and optimize AI/ML models using LLMs, RAG, and prompts for production-grade apps.
• Develop and orchestrate multi-agent systems with LangGraph and LangChain.
• Deploy on secure cloud environments (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, Bedrock).
• Build data pipelines, metadata catalogs, and ontologies for high-quality data.
• Create and maintain REST APIs and SDK integrations; collaborate across teams; follow CI/CD practices.

Skills

Python

LLMs

RAG systems

LangGraph

LangChain

Cloud services

CI/CD

Data pipelines

APIs

Secure coding

Communication

Tools

LangGraph

LangChain

AWS GovCloud

Vertex AI

AWS Bedrock

Job description

Job Title

AI/ML Engineer

Job Type

Full-Time

About Us

Our team is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.

Job Summary

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to Our team’s proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities

• Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
• Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
• Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
• Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
• Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
• Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Skills and Qualifications

• Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
• Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
• Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
• Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
• Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
• Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
• Exceptional written and verbal communication skills for effective collaboration and documentation.

Preferred Qualifications

• Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
• Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
• Prior exposure to government or highly regulated cloud environments and compliance standards.