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Artificial Intelligence Engineer

Harvey Nash

United States

Remote

USD 130,000 - 150,000

Full time

3 days ago
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Job summary

A leading financial services firm is seeking an AI Solutions Engineer to develop and integrate AI-powered workflows using pre-trained LLMs such as OpenAI and LLaMA. This remote contract position requires collaboration on healthcare solutions, focusing on design, implementation, and stakeholder interaction, offering a competitive salary range of $130,000 to $150,000 annually.

Benefits

Medical insurance
Vision insurance
401(k)

Qualifications

  • Hands-on experience with agentic AI design and workflow integration required.
  • AWS cloud knowledge essential.
  • Consulting mindset with ability to work well with stakeholders.

Responsibilities

  • Design and build PoCs using pre-trained LLMs for healthcare solutions.
  • Integrate APIs and external systems for full solution orchestration.
  • Work in AWS environment for service deployment.

Skills

Agentic AI design
Workflow integration
AWS Cloud knowledge
Solutioning independently

Job description

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This range is provided by Harvey Nash. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $150,000.00/yr

Job Title: AI Solutions Engineer (Python + LLM Integration | AWS)

Client: Leading financial services firm (credit card domain)

Location: Remote (U.S.-based)

Type: Contract (Consulting role)

("US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”)

Role Overview:

Seeking a hands-on AI Solutions Engineer to develop PoCs using pre-trained LLMs (e.g., OpenAI, LLaMA) and integrate them into scalable agentic workflows for personalized healthcare solutions. This is a consultative, build-focused role—not model training or MLOps.

Key Responsibilities:

  • Design and build PoCs using pre-trained LLMs (LangChain, OpenAI, LLaMA)
  • Create and customize agentic workflows (agent design, input/output handling, prompt engineering)
  • Integrate APIs, tools, and external systems for full solution orchestration
  • Build lightweight ETL processes as needed to support data flows
  • Collaborate with stakeholders to define technical approaches from business asks
  • Present, iterate, and refine solutions based on team and client feedback
  • Work in AWS environment for service deployment and infrastructure

Must-Have Skills:

  • Hands-on experience with agentic AI design and workflow integration
  • AWS cloud knowledge (infrastructure, services, deployment)
  • Comfort with solutioning independently and scoping technical PoCs
  • Consulting mindset: works well with stakeholders, defines gaps, delivers hands-on solutions

Nice-to-Have Skills:

  • Exposure to RAG architectures
  • Experience with personalization use cases, especially in healthcare
  • Basic SQL (low priority)

Fit & Culture:

  • Team is highly technical and collaborative
  • Role includes direct interaction with stakeholders
  • Clear, concise communication is valued—avoid long-winded answers
  • Openness to learn is appreciated over “knowing it all”

A reasonable, good faith estimate of the minimum and maximum annual salary for this role is $130,000 to $150,000 with benefits.

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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