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Staff Engineer - AI Agents

Who we are:

Mediafly is the leading revenue enablement platform market-facing teams use to plan, predict, coach, and engage at the highest levels. Our unified suite of solutions create immersive buyer experiences; enable sellers to lead with value, allow managers to scale coaching, and empower leaders to forecast with confidence. In today’s unpredictable market, Mediafly is the key to delivering predictable efficient growth.


We’re looking for a Staff Software Engineer with expertise in AI-driven applications and fullstack development. In this role, you will design, build, and optimize AI-powered systems while also working on traditional fullstack development. You’ll collaborate with product, design, and infrastructure teams to deliver high-impact features and guide technical strategy.


This is an individual contributor (IC) leadership role, where you'll influence architecture, set technical direction, and get hands on with complex engineering challenges.


At Mediafly/Dooly, you’ll play a key role in shaping AI-driven workflows that power a multi-million ARR product, directly impacting thousands of users. We thrive on collaboration, innovation, and continuous growth—your ideas won’t just be heard, they’ll help drive our future.


Responsibilities of a Staff Engineer:
  • Design, develop, and integrate AI agents into existing products.
  • Train and optimize LLMs for performance, scalability, and efficiency in production environments. Conduct evaluations and perform cost-performance tradeoffs to enhance response quality and system reliability.
  • Work fullstack to build scalable, observable, and maintainable web application features.
  • Architect and implement APIs, databases, and cloud services to support both AI and traditional product features.
  • Lead and collaborate on all portions of the SDLC including technical discovery to break down large, complex, and ambiguous problems into clear, actionable initiatives and tasks to drive successful outcomes.
  • Raise the bar for code quality and engineering standards, ensuring that all solutions are robust, testable, observable, maintainable, secure, and scalable.
  • Mentor engineers and provide technical guidance on best practices.


We would love to work with you if you have (required):
  • Experience: 8-12+ years in software engineering, with 3-5+ years in a senior or technical leadership role.
  • Technical Expertise: Deep knowledge across the stack, particularly with: Python, Node.js, React.js. You have expertise in building AI-driven systems, particularly AI Agents, AI search, and Retrieval-Augmented Generation. You have hands-on experience with vector databases, MLOps, and working alongside other engineers to bring AI products to production.
  • Architectural Skills: Proven ability to design scalable, distributed, and robust systems.
  • Collaboration & Communication: You excel at working across teams, and are able to translate complex technical concepts for non-technical stakeholders. You value open discussions, give and receive feedback well, and thrive in a collaborative environment.
  • Curiosity & Problem-Solving: You love diving deep into complex systems, understanding how they work, and finding creative ways to improve them. Whether it's optimizing existing architecture or rethinking processes, you bring a thoughtful approach to problem-solving. You’ve likely worked on challenging tech before and enjoy the satisfaction of making things more efficient, scalable, and future-proof.
  • Product Mindset: You care about more than just the code—you’re curious about the why behind what you’re building. You think about the business impact, user experience, and long-term value of your work, ensuring that technical decisions align with broader company and customer goals.
  • Versatility & Leadership: You’re comfortable switching between big-picture strategy and hands-on execution. Whether you're engaging in high-level architectural discussions, exploring new opportunities, or rolling up your sleeves to debug and build, you adapt seamlessly to what the situation calls for.


Nice to haves:
  • Experience with DevOps with preference for AWS


$175,000 - $200,000 a year
At Mediafly/Dooly, we believe that pay transparency is essential to building trust, promoting fairness, and driving equity in the workplace. By openly sharing salary ranges in our job postings, we aim to empower candidates with clear expectations and ensure that all employees are valued for their contributions. This commitment reflects our dedication to fostering an inclusive culture where everyone has access to opportunity and growth. We believe that transparency not only strengthens our hiring process but also reinforces our core values of integrity, accountability, and respect.

This is a 100% remote position with a collaborative team that values flexibility and trust. We use modern communication and collaboration tools to stay connected and productive across time zones.

Ready to make an impact on a product that matters? Apply today and help us build the next generation of our platform!



Why Mediafly?


Remote based in Canada

Flexible working hours

Generous Paid Time Off

Competitive Salary

Health Benefits

Transparent Career Paths

Generous Paid Parental Leave

Remote Stipend



Mediafly is an equal opportunity employer, which means we do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome people of different backgrounds, experiences, abilities and perspectives and encourage all interested individuals to apply.


We have over 100 employees located globally. Thanks to our commitment to employee experience, Mediafly has been recognized as a Best Place to Work from Crain's, Inc. and BuiltIn.


Mediafly's HQ is based in Chicago, IL.

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Average salary estimate

$187500 / YEARLY (est.)
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$175000K
$200000K

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What You Should Know About Staff Engineer - AI Agents, Mediafly

At Mediafly, we're excited to invite a talented Staff Engineer - AI Agents to join our innovative team! As the leading revenue enablement platform, we empower market-facing teams to achieve excellence through a suite of solutions that enhance buyer experiences. In this dynamic role, you'll dive into designing and optimizing AI-powered systems while also engaging in fullstack development. Collaborating closely with product, design, and infrastructure squads, you'll be instrumental in delivering impactful features and steering technical strategies. This isn't just another job; it's an opportunity to influence architecture and tackle complex engineering challenges that directly impact a multi-million ARR product used by countless users. Your contributions will be highly valued in our culture of collaboration and continuous growth, where your creative ideas will truly shape our future. With your wealth of experience—8-12 years in software engineering with a solid background in AI-driven systems and fullstack technologies—you'll find yourself at the forefront of technological advancement as you design integrations for AI agents and enhance application performance. If you're looking for a place where your expertise can shine and where your work makes a difference, Mediafly is the perfect fit. Join us and be part of a friendly, inclusive team that's committed to pushing boundaries and redefining what's possible in revenue enablement!

Frequently Asked Questions (FAQs) for Staff Engineer - AI Agents Role at Mediafly
What are the responsibilities of a Staff Engineer - AI Agents at Mediafly?

The Staff Engineer - AI Agents role at Mediafly involves designing, developing, and integrating AI agents into existing products, training and optimizing LLMs for performance and efficiency, and collaborating on all portions of the software development life cycle (SDLC). Additionally, you'll lead the architecture of APIs and cloud services while mentoring fellow engineers.

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What qualifications are required for the Staff Engineer - AI Agents position at Mediafly?

To qualify for the Staff Engineer - AI Agents role at Mediafly, candidates should have 8-12+ years of software engineering experience, including 3-5+ years in a senior position. A deep understanding of technologies like Python, Node.js, and React.js, alongside expertise in building AI-driven systems and MLOps, is essential to succeed in this role.

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How does the Staff Engineer - AI Agents at Mediafly influence the technical strategy?

As a Staff Engineer - AI Agents at Mediafly, you will influence technical strategy by contributing to architectural decisions and guiding the development of scalable, robust systems. Your expertise will reshape workflows and drive successful outcomes, ensuring that innovations align with both customer needs and business goals.

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What makes Mediafly a great place for a Staff Engineer - AI Agents?

Mediafly stands out as an exceptional workplace for a Staff Engineer - AI Agents due to its commitment to transparency, competitive salaries, and flexibility. With a remote-first culture, generous paid time off, and opportunities for career growth, Mediafly prioritizes employee satisfaction and fosters an inclusive environment.

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What is the expected salary range for a Staff Engineer - AI Agents at Mediafly?

The expected salary range for the Staff Engineer - AI Agents position at Mediafly is between $175,000 to $200,000 per year. This reflects Mediafly's commitment to pay transparency and promoting equity within the workplace.

Join Rise to see the full answer
Common Interview Questions for Staff Engineer - AI Agents
Can you explain your experience with AI-driven systems as a Staff Engineer?

In your answer, focus on specific projects you've worked on that involved AI technologies. Discuss the methodologies you employed, the challenges you faced, and how you collaborated with teams to deliver successful outcomes. Highlight your problem-solving skills and technical insights.

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What is your approach to mentoring junior engineers?

Share your philosophy on mentorship, emphasizing the importance of knowledge sharing and fostering a supportive environment. Discuss how you identify mentoring opportunities and tailor your guidance to meet individual needs, ultimately helping them grow their skills and confidence.

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How do you prioritize tasks when managing complex engineering challenges?

Describe your strategies for breaking down large tasks into manageable pieces. Talk about how you assess urgency and importance, incorporate feedback from team members, and utilize project management tools to stay organized and focused.

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What techniques do you use for optimizing machine learning models?

Discuss specific techniques you've applied, such as hyperparameter tuning, cross-validation, and the use of performance metrics. Explain how you analyze trade-offs between cost and performance while consistently aiming for efficiency in your models.

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How do you ensure code quality and maintainability in your projects?

Talk about the practices you implement, such as code reviews, automated testing, and adhering to coding standards. Highlight your commitment to writing clean, understandable code and the tools you utilize to facilitate maintainability.

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Can you provide an example of a technical decision you made that had a significant impact?

Share a specific instance where a technical decision you made led to a measurable improvement. Explain the thought process behind the decision, any relevant metrics, and how it benefited the project or the organization as a whole.

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What is your experience with cloud services, specifically AWS?

Outline your hands-on experience with AWS, including services you've used like S3, Lambda, or DynamoDB. Talk about how you leveraged cloud capabilities to enhance scalability, performance, or cost-effectiveness within your projects.

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How do you handle feedback or criticism from peers and stakeholders?

Discuss your open-minded approach to feedback, your willingness to listen, and how you implement constructive criticism to improve your work. Providing an example of how feedback positively influenced a project can be particularly impactful.

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In what ways do you stay current with advancements in AI technology?

Share your strategies for continuous learning, such as attending conferences, participating in online courses, reading industry publications, or engaging with communities of practice. Highlight any resources you find particularly valuable.

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How do you balance technical execution and high-level strategic thinking?

Describe how you alternate between discussing big-picture goals and diving into technical details. Illustrate your ability to adapt your mindset to the situation, ensuring that your work aligns with overarching business objectives while maintaining high coding standards.

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At Mediafly, we believe in driving breakthrough results for our customers by building beautiful technology that delivers real-time, interactive insights in every meeting. Mediafly is the Evolved Selling™ Platform for your business. Dynamic | Int...

11 jobs
MATCH
VIEW MATCH
BENEFITS & PERKS
Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Vision Insurance
Paid Holidays
Sabbatical
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
March 16, 2025

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