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AI Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: GSPANN Technologies, Inc
Part Time position
Listed on 2026-10-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Machine Learning/ ML Engineer, Python
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Headquartered in California, U.S.A., GSPANN is a leading provider of consulting and IT services to global clients. We specialize in helping clients transform their IT capabilities, optimize business practices, and drive operational efficiency across industries such as retail, high-technology, and manufacturing. With five global delivery centers and over 1,900 employees, we combine the personalized approach of a boutique consultancy with the extensive capabilities of a large IT services firm.

Detailed

Job Description

Job Title:

AI Engineer – GenAI / Agentic Development

Job Location:

San Francisco, CA (Hybrid – 1-2 days/week onsite)

Duration: 12+ Months

Overview

We are looking for an experienced AI Engineer to build and deliver production-grade AI/ML and Generative AI solutions.

The ideal candidate combines strong software engineering fundamentals with hands‑on experience developing AI applications, leveraging AI coding assistants, and implementing modern agentic development workflows
.

This role requires someone who can work across Python and Type Script/React
, navigate multiple codebases and technology stacks, and independently drive technical solutions from concept through production.

Key Responsibilities
  • Design, develop, and deploy production-grade AI/ML and Generative AI applications
    .
  • Own AI engineering initiatives end-to-end
    , from technical design through implementation, testing, deployment, and optimization.
  • Leverage AI coding assistants and agentic development workflows to improve engineering productivity and accelerate development.
  • Develop full‑stack applications using Python, Type Script, and React
    .
  • Integrate emerging AI technologies and agentic capabilities into existing engineering workflows and applications.
  • Design and implement scalable solutions using microservice architecture and modern software design patterns
    .
  • Evaluate technical trade-offs and recommend appropriate architectures for AI‑enabled applications.
  • Work across different codebases, technology stacks, and AI platforms while maintaining development efficiency and quality.
  • Collaborate with engineering, product, and other technical stakeholders to translate business requirements into scalable AI solutions.
  • Mentor engineers and contribute to technical decisions, coding standards, and engineering best practices.
  • Demonstrate strong ownership, prioritization, and execution of delegated technical tasks.
  • Apply responsible AI principles related to bias, safety, reliability, and ethical AI development
    .
  • Participate in Agile development practices and utilize tools such as Jira and Confluence
    .
  • Communicate complex AI/ML concepts clearly to both technical and non‑technical audiences.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Information Technology
    , or equivalent practical experience.
  • 5+ years of software engineering experience
    , including at least 2+ years focused on AI/ML or Generative AI applications
    .
  • Demonstrated experience delivering production AI systems with end‑to‑end ownership.
  • Expert‑level experience with AI coding assistants and agentic development workflows
    .
  • Strong hands‑on full‑stack development experience with:
  • Python
  • Type Script
  • React
  • Experience designing and developing microservices and understanding architectural patterns and trade‑offs.
  • Ability to efficiently context‑switch between different codebases, technology stacks, and AI platforms.
  • Strong communication and collaboration skills.
  • Ability to independently prioritize and execute technical assignments.
  • Leadership mindset with experience mentoring engineers and influencing technical decisions
    .
  • Experience working in Agile/Scrum environments with tools such as Jira and Confluence.
  • Understanding of Responsible AI
    , including…
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