AI/ML Engineer

SaidGig

New York (NY)

Remote

USD 200,000 - 350,000

Full time

5 days ago
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Job summary

SaidGig is seeking a senior AI/ML engineer to design, implement, and optimize production models using LLMs, RAG, and prompt engineering. You will build and orchestrate multi-agent systems and deploy secure solutions in trusted cloud environments.

The role invites you to develop data pipelines, ETL processes, ontologies, and metadata catalogs, supporting high-quality training and inference data. You will create REST APIs and SDK integrations, collaborating with product, security, and engineering

Qualifications

  • Proficiency in Python for AI/ML development including REST API integration.
  • Hands-on production experience with LLMs, RAG systems, and prompt engineering.
  • Experience with multi-agent orchestration using LangGraph and LangChain.
  • Strong knowledge of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  • Experience building data pipelines, ontologies, metadata catalogs, and ETL processes.
  • Knowledge of secure coding practices and CI/CD pipelines.
  • Excellent written and verbal communication skills.

Responsibilities

  • Design, implement, and optimize production AI/ML models using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems with tools such as LangGraph and LangChain.
  • Integrate and deploy solutions in secure cloud environments (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  • Build data pipelines, manage ETL, and develop metadata catalogs and ontologies for 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 DevOps/CI/CD pipelines.
  • Document technical decisions and explain complex concepts to diverse stakeholders.

Skills

Python (AI/ML)
REST API integration
LLMs & RAG
Multi-agent orchestration
LangGraph
LangChain
Cloud AI services
ETL pipelines
CI/CD / DevOps
Communication skills

Tools

LangGraph
LangChain
AWS GovCloud
Google GovCloud
Azure IL5+
Vertex AI
AWS Bedrock
CI/CD tools

Job description

Key Responsibilities


  • Design, implement, and optimize production AI/ML models using LLMs, RAG, and prompt engineering.

  • Develop and orchestrate multi-agent systems with tools and frameworks such as LangGraph and LangChain.

  • Integrate and deploy solutions in secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.

  • Build reliable data pipelines, manage ETL processes, and develop metadata catalogs and ontologies that support high-quality AI training and inference data.

  • Create and maintain REST APIs and SDK integrations for data and model interactions.

  • Partner with product, security, and engineering teams to deliver secure solutions using modern DevOps and CI/CD practices.

  • Document technical decisions and explain complex concepts to technical and non-technical stakeholders.


Qualifications


  • Proficiency in Python for AI/ML development, including REST API and SDK integration experience.

  • Hands-on production experience with LLMs, RAG systems, and prompt engineering.

  • Experience with multi-agent orchestration, tool use, and 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, ontologies, metadata catalogs, and ETL processes.

  • Knowledge of secure coding practices and modern DevOps, including CI/CD pipelines.

  • Excellent written and verbal communication skills.


Preferred Qualifications


  • Experience with enterprise or government AI and agentic platforms.

  • Knowledge of metadata catalog platforms and advanced API development techniques.

  • Experience working in government or highly regulated cloud environments and with applicable compliance standards.


Work Terms

Remote, full-time position.


Compensation

Annual compensation range: $200, 000 to $350, 000.

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