AI/ML Engineer - WFH

About the Role
SaidGig is seeking an AI/ML Engineer to design, develop, and optimize production-ready AI solutions using large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and multi-agent systems. This role focuses on building secure, scalable AI applications, integrating cloud-based AI services, and developing reliable data infrastructure to support model training and inference.
Key Responsibilities
Design, implement, and optimize production AI/ML models using LLMs, RAG systems, and prompt engineering techniques.
Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
Integrate and deploy AI solutions in secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
Build and maintain data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to support high-quality training and inference data.
Create and maintain REST APIs and SDK integrations for data and model interactions.
Collaborate with product, security, and engineering teams to deliver secure AI solutions using modern DevOps practices and CI/CD pipelines.
Document technical decisions and communicate complex technical concepts clearly to technical and non-technical stakeholders.
Required Qualifications
Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integrations.
Hands-on production experience with LLMs, RAG systems, and prompt engineering.
Experience developing multi-agent systems, tool integrations, and orchestration workflows using frameworks such as LangGraph and LangChain.
Strong understanding of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
Experience building and maintaining data pipelines, ETL processes, ontologies, and metadata catalogs.
Knowledge of secure coding practices, DevOps principles, and CI/CD pipelines.
Excellent written and verbal communication skills.
Preferred Qualifications
Experience with enterprise or government AI platforms and agentic systems.
Familiarity with metadata catalog platforms and advanced API development techniques.
Experience working in government or highly regulated cloud environments.
Knowledge of applicable security and compliance standards.
Salary & Benefits
The advertised annual compensation range is $200,000–$350,000. The source does not specify additional benefits.
Work Location
This is a full-time remote position listed in New York, NY, United States.

Work arrangement
Yes