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AI Solutions Engineer

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Intelliswift - An LTTS Company
Full Time position
Listed on 2026-07-07
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer, AI QA / Validation Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Job Title:

AI Implementation Specialist / AI Solutions Engineer (Contract)

Location:

Hybrid – Seattle, Menlo Park, New York, or Washington DC

Duration:
Contract through Dec 2026 (extendable)

We are looking for an AI Implementation Specialist to design and build AI-driven solutions that automate business workflows. This role focuses on developing modular AI “skills,” creating structured data/context layers, and orchestrating multi-step AI workflows.

You will work at the intersection of AI engineering and operations—delivering scalable, reliable, and production-ready AI solutions that solve real-world problems

Responsibilities:

Build and deploy AI-driven workflow solutions using LLMs and automation frameworks

Develop reusable AI “skills” to perform specific functions within larger systems

Create and maintain structured context data (JSON, YAML, Markdown) for AI reasoning

Design orchestration workflows that connect multiple AI components into end-to-end solutions

Test and refine AI systems to ensure performance, reliability, and accuracy

Document workflows, system design, and implementation standards

Partner with cross-functional teams to identify automation opportunities and translate requirements into scalable AI solutions.

Qualifications

Experience building AI solutions, automation pipelines, or agent-based systems

Strong understanding of prompt engineering and LLM-based applications

Proficiency in working with structured data formats (JSON, YAML, Markdown)

Strong problem-solving skills with a hands-on, builder mindset

Ability to handle multiple concurrent projects in a fast-paced environment

Strong communication skills for documentation and cross-team collaboration

Preferred Qualifications:

Experience with Python for automation or AI workflows

Familiarity with AI agent frameworks or orchestration platforms

Experience with CLI tools and terminal-based workflows

Background working in fast-paced tech environments

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