AI Engineer: LLM Orchestration on AWS — Partial Telework

Erias Ventures, LLC

Maryland

Hybrid

USD 150,000 - 265,000

Full time

5 days ago
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Benefits offered by this job

Above Market Pay
Roth 401k
Spot Bonuses
Professional Development

Job summary

Erias Ventures seeks an Artificial Intelligence (AI) Engineer to design, prototype, and integrate AI-enabled capabilities into the RAD architecture. This role centers on applying existing large language models to mission workflows rather than training new models.

You will build agentic solutions and multi-agent prompts that automate tasks, streamline reporting, and enhance intelligence operations in collaboration with system and software engineers.

Qualifications

  • Strong Python development skills and production-quality code.
  • Experience building apps on top of LLMs via APIs.
  • Design multi-agent AI workflows with prompt chaining and orchestration.
  • Evaluate and validate LLM outputs for reliability.
  • Integrate AI capabilities into RESTful APIs and microservices.
  • Experience with AWS cloud platforms.

Responsibilities

  • Agentic Solution Design & Development: lead AI-driven solution design from concept to deployment.
  • LLM Integration: connect foundation models to the RAD architecture via APIs.
  • Prompt Engineering & Workflow Automation: craft prompts and automate tasks.
  • Evaluation & Reliability: develop testing and validation for AI outputs.
  • Collaboration: liaise with system engineers, software developers, and domain experts.
  • Continuous Improvement: stay current with LLM and agentic AI developments.

Skills

Python development
LLM integration via APIs
Multi-agent workflows
Prompt engineering
RESTful APIs / microservices
AWS

Education

Bachelor's degree

Tools

LangChain
LlamaIndex

Job description

Erias Ventures seeks an Artificial Intelligence (AI) Engineer to design, prototype, and integrate AI-enabled capabilities into the RAD architecture. This role centers on applying existing large language models to mission workflows rather than training new models.

You will build agentic solutions and multi-agent prompts that automate tasks, streamline reporting, and enhance intelligence operations in collaboration with system and software engineers.

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