Artificial Intelligence Engineer – Remote

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

• 4 more items(s)

Responsibilities

• You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling

• 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

• 5 more items(s)

More job highlights

Job description

Job Title: AI/ML Engineer

Job Type: Full-Time

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 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.

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