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Generative AI Engineer

Overview

Workforce Opportunity Services (WOS) is a leading 501(c)(3) nonprofit dedicated to developing the skills of high-potential individuals who may not have access to career opportunities. Through strategic partnerships, WOS connects motivated talent with organizations seeking to expand their workforce with skilled professionals.

 

Utilizing a scientifically-based model derived from research conducted at Columbia University, we recruit, educate, train, and place high-potential talent with leading organizations around the world.

We are seeking a dynamic and innovative Generative AI Engineer to join our team, reporting directly to Hearst's Chief Product & AI Strategist. This role sits at the intersection of software engineering and artificial intelligence, focusing on building and deploying cutting-edge AI applications that drive business value.

Responsibilities

• Design and develop Generative AI applications and features using modern LLM APIs and open-source models

• Create and optimize multi-agent systems using frameworks like LangChain and advanced RAG architectures

• Build robust systems that combine traditional software engineering with Generative AI capabilities

• Implement and maintain AI pipelines using vector databases and retrieval systems

• Develop evaluation frameworks to assess Generative AI application performance and reliability

• Collaborate with product teams to identify and implement AI-driven solutions

Qualifications

Candidate Profile:

  • Education/Experience:
    • This position does not require a degree nor any specific certification.
    • 5+ years of software development experience with strong proficiency in Python and JavaScript.
  • Technical Expertise:
    • Experience in supporting short, and long term, data management and strategic business activities through the analysis of data.

    • Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs)

       

    • Demonstrated ability to work with LLM APIs (GPT-4, Claude, etc.)

    • Familiarity the use of agentic software development tools like Cline and Cursor

       

    • Strong understanding of prompt engineering and LLM capabilities

       

    • A commitment to automated testing and software development best practices

       

    • Strong problem solving and project management skills and ability to work with ambiguous requirements

    • Excellent communication skills to explain AI capabilities and limitations to stakeholders

Preferred Requirements:

  • Experience with complex RAG architectures incorporating graph databases

     

  • Familiarity with agent orchestration frameworks like LangGraph or CrewAI

     

  • Experience with LLM evaluation and monitoring tools like LangSmith

  • Knowledge of advanced retrieval techniques beyond semantic search

Additional Information

Location:

  • Remote

Job Type:

  • Full-Time (hours/week)

Salary:

  • $150,000.00 - $200,000.00/Annually (Plus Benefits)

Benefits

  • Low Cost Health Insurance
  • Free Training (Program specific)
  • Paid Vacation
  • Paid Company Holidays
  • Education Assistance/Reimbursement (Toward first degree - Bachelors/Associates)
  • Individual Mentor 
  • 401k Retirement Savings
  • Interest free loans (Case basis)

About Us

Our vision is to empower early-career professionals to achieve long-lasting professional success and financial independence while supporting companies in building workplaces that reflect and engage with the communities they serve.  As social entrepreneurs, we believe companies have the unique power and responsibility to close the gap on socio-economic disparity. We are in the business of creating dynamic partnerships that transform lives.

Pay Range

USD $150,000.00 - USD $200,000.00 /Yr.

Average salary estimate

$175000 / YEARLY (est.)
min
max
$150000K
$200000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Generative AI Engineer, Workforce Opportunity Services

If you’re looking for an exciting opportunity that blends cutting-edge technology with meaningful work, check out the Generative AI Engineer role at Workforce Opportunity Services (WOS) in Charlotte! This position is perfect for innovative engineers who thrive on creating impactful AI applications that actualize the next wave of technological advancements. In this dynamic environment, you’ll report directly to Hearst's Chief Product & AI Strategist and collaborate closely with product teams to devise AI-driven solutions. Your day-to-day will involve designing and developing Generative AI applications, utilizing advanced frameworks like LangChain, and working with LLM APIs such as GPT-4 and Claude. With the chance to implement AI pipelines and create evaluation frameworks, you'll have the opportunity to make significant contributions that drive business value. Plus, you’ll work within an organization that is committed to bridging gaps in socio-economic disparity, making a tangible difference in both your craft and community. If you have 5+ years of software development experience, a strong grasp of Python and JavaScript, and a passion for AI, then this role is calling your name! With a competitive salary between $150,000 and $200,000, plus a range of benefits, this remote full-time role offers flexibility and a chance to innovate in the exciting world of AI technology.

Frequently Asked Questions (FAQs) for Generative AI Engineer Role at Workforce Opportunity Services
What qualifications do I need to apply for the Generative AI Engineer position at Workforce Opportunity Services?

To apply for the Generative AI Engineer role at Workforce Opportunity Services, you don't need a specific degree or certification. However, you should have over 5 years of software development experience, with strong proficiency in Python and JavaScript. Familiarity with Generative AI frameworks, LLM APIs, and a commitment to best practices in software development are highly valued.

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What will my responsibilities be as a Generative AI Engineer at Workforce Opportunity Services?

As a Generative AI Engineer at Workforce Opportunity Services, your primary responsibilities will include designing and developing Generative AI applications and features, creating multi-agent systems, building robust AI capabilities, implementing AI pipelines, and collaborating with product teams to deliver effective AI solutions that drive business value.

Join Rise to see the full answer
How does Workforce Opportunity Services support the professional development of its Generative AI Engineers?

Workforce Opportunity Services is committed to the professional development of its employees. As a Generative AI Engineer, you’ll have access to free training programs, education assistance, and mentorship opportunities, allowing you to continuously enhance your skills while contributing to innovative projects.

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Is remote work available for the Generative AI Engineer role at Workforce Opportunity Services?

Yes, the Generative AI Engineer position at Workforce Opportunity Services is fully remote, providing you with flexibility to work from anywhere while still being part of an innovative team that contributes to meaningful projects.

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What kind of technology stack does the Generative AI Engineer role at Workforce Opportunity Services involve?

In the Generative AI Engineer role at Workforce Opportunity Services, you will work with modern LLM APIs, frameworks like LangChain, vector databases, and advanced retrieval architectures. Technical expertise in prompt engineering and familiarity with agent orchestration will also be essential for success in this position.

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Common Interview Questions for Generative AI Engineer
Can you explain your experience with LLM APIs in the Generative AI space?

When answering this question, highlight specific projects where you have utilized LLM APIs, such as GPT-4, to build applications. Discuss the outcomes and any challenges you overcame, demonstrating your understanding of both the technology and its capabilities.

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What strategies do you use for prompt engineering?

Describe your approach to prompt engineering, including how you iterate on prompts to achieve desired outcomes. It’s useful to provide examples of how minor changes have produced significantly different results in your projects.

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How do you ensure the performance and reliability of AI applications you develop?

Discuss your methods for creating evaluation frameworks and your approach to testing and maintaining applications. Include your experience with automated testing and how it contributes to the reliability of your AI systems.

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What tools have you used for building multi-agent systems?

Mention specific frameworks you've worked with, like LangChain, and provide details about the types of projects where you have successfully implemented them. Highlight any innovative solutions you developed during these projects.

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Describe a challenge you faced while developing AI applications and how you overcame it.

This question is an opportunity to showcase your problem-solving skills. Describe a specific challenge, the steps you took to address it, and what you learned from the experience that can apply to future projects.

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How do you stay updated with the latest trends in Generative AI?

Share your methods for keeping abreast of industry trends, such as attending conferences, participating in online forums, and following influential thought leaders in AI. Mention any relevant coursework or certifications you’ve pursued.

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What is your experience with data management in AI development?

Discuss your approach to data management and analysis in the context of supporting AI projects. Provide examples of how you've successfully managed data to facilitate decision-making and strategic business activities.

Join Rise to see the full answer
Can you explain your understanding of RAG architectures?

In your response, demonstrate your knowledge of RAG architectures and discuss any relevant experience you have. Focus on how these architectures can enhance the capabilities of AI applications you've developed.

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How do you communicate technical AI concepts to non-technical stakeholders?

Provide examples of how you've successfully translated complex AI concepts into layman's terms for stakeholders. Highlight your communication style and strategies that help bridge the gap between technical and non-technical audiences.

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What motivates you to work in the Generative AI field?

Share your passion for AI and technology, discussing what drew you to this field and how your interests align with the mission of Workforce Opportunity Services. Highlight any personal projects or aspirations that inspire you.

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Founded in 2005, Workforce Opportunity Services (WOS) is a leading 501(c)(3) nonprofit committed to developing the skills of untapped talent from historically underrepresented communities through partnerships with organizations dedicated to divers...

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Full-time, remote
DATE POSTED
April 8, 2025

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