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Software Engineer

#SWE-GML

About Us
We’re a fast scaling AI startup transforming enterprise customer interactions by deploying voice and chat agents powered by state of the art LLMs. Every month, our systems autonomously handle over a million support conversations delivering clarity, empathy, and precision at scale.

Trusted by hypergrowth companies and backed by tier 1 investors from Silicon Valley, we’re entering a new phase of growth. With a robust pipeline of multi year enterprise contracts and enthusiastic support from leaders in the AI ecosystem, now’s the time to join our mission.

Why You’ll Love Working Here

• Get hands on experience building high impact AI features in production
• Learn from seasoned engineers and founders who’ve built and scaled successful tech companies
• Take ownership of meaningful projects early in your career
• Grow in a culture that values speed, ownership, and innovation

What You’ll Do

• Serve as a key point of contact for customers and gather real time feedback
• Contribute across the stack with a focus on building and iterating on our conversational AI platform
• Collaborate closely with engineers, designers, and product leads to ship and improve features
• Write clean, scalable, and testable code
• Take on end to end responsibility for small projects with opportunities to grow into broader technical leadership

Who You Are

• Any years of engineering experience (internships or side projects welcome)
• Strong foundation in Python for backend development (Django experience is a plus)
• Frontend experience with React and or Next.js
• A self starter with a strong bias toward action. You like moving fast and figuring things out
• Willingness to dive deep and work flexible hours when needed

Bonus Points For

• Familiarity with Docker, Kubernetes, or other container orchestration tools
• Prior experience at a startup or having built your own side projects
• Interest in generative AI, LLMs, or machine learning applications
• Strong communication skills and a customer centric mindset

Perks & Benefits

• Competitive salary with equity options
• Comprehensive health, dental, and vision coverage
• Wellness and fitness reimbursement
• Access to a beautiful newly designed 5,000 sq. ft. office in SF
• Work in an environment where your voice matters and your impact is visible

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Average salary estimate

$90000 / YEARLY (est.)
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$110000K

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What You Should Know About Software Engineer, Gitty

Join us at our innovative AI startup as a Software Engineer, where we’re transforming enterprise customer interactions with our powerful voice and chat agents. At our company, we autonomously handle over a million support conversations each month, delivering clarity, empathy, and precision at an impressive scale. Supported by top-tier investors and trusted by hypergrowth companies, now’s the perfect time to jump on board and contribute to our exciting mission. As a Software Engineer, you’ll gain hands-on experience by building impactful AI features and have the opportunity to learn from seasoned engineers and founders who have extensive experience in scaling tech companies. You’ll take ownership of meaningful projects right away and thrive in a fast-paced, innovative culture that values speed and creativity. Your role will involve serving as a key contact for our customers, gathering real-time feedback, and contributing to our conversational AI platform. You'll be collaborating with engineers, designers, and product leads, writing clean and testable code while managing small projects with chances to grow into technical leadership. We welcome any level of engineering experience, and strong foundations in Python for backend development—Django would be a plus! If you’re a self-starter with a customer-centric mindset and a keen interest in generative AI and machine learning, we can't wait to meet you. With competitive salaries, equity options, and comprehensive health coverage in a beautiful office setting, your impact here is not only recognized but celebrated.

Frequently Asked Questions (FAQs) for Software Engineer Role at Gitty
What are the main responsibilities of a Software Engineer at our AI startup?

As a Software Engineer at our innovative AI startup, your main responsibilities will include serving as a key point of contact for customers to gather invaluable feedback, contributing across the tech stack with a focus on our conversational AI platform, and collaborating closely with teams to ship and improve key features. Your focus will also involve writing clean, scalable code and taking end-to-end responsibility for small projects.

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What qualifications are needed for the Software Engineer position at our company?

For the Software Engineer position at our company, we require candidates to have a strong foundation in Python for backend development, with preferred experience in Django. Familiarity with frontend technologies like React or Next.js is also desired. Any engineering experience, including internships or personal projects, will be considered. Moreover, we are looking for self-starters eager to work in a fast-paced environment.

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What programming languages should a Software Engineer know at our AI startup?

A Software Engineer at our AI startup should be well-versed in Python, particularly for backend development. Experience with Django is a plus, while familiarity with frontend technologies such as React or Next.js will also be beneficial. Knowledge of container orchestration tools like Docker or Kubernetes would make you stand out even more!

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What unique benefits does our AI startup offer to Software Engineers?

Our AI startup offers competitive salaries with equity options, comprehensive health, dental, and vision coverage, and wellness benefits. Beyond traditional perks, you'll have the chance to work in a beautifully designed office space and be part of a culture that values your voice and impact, with early opportunities for project ownership and professional growth.

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How can I prepare for the Software Engineer role at our AI startup?

To prepare for the Software Engineer role at our company, focus on strengthening your skills in Python and familiarizing yourself with Django. If you can, build projects that showcase your frontend skills in React or Next.js. Additionally, understanding the fundamentals of AI and machine learning, as well as container tools like Docker, could benefit you in the interview process.

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Common Interview Questions for Software Engineer
Can you describe your experience with Python programming for backend development?

When answering this question, highlight your proficiency in Python, detailing any specific projects where you utilized it. If you have experience with frameworks like Django, share how you leveraged them to enhance functionality or improve user experiences.

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What do you know about building conversational AI features?

In response, discuss any relevant projects or coursework you've completed involving conversational AI, chatbots, or voice agents. Share how you integrated user feedback and iterative design to enhance these features in your previous roles or personal projects.

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Describe a project where you took ownership from start to finish.

Discuss a specific project you have led, emphasizing your planning, execution, and outcome. Highlight any challenges you overcame, your decision-making process, and how you engaged with team members during the development.

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How do you approach collaboration with designers and product leads?

Share your approach to teamwork, focusing on open communication and a user-centric mindset. Give examples of how you’ve worked with cross-functional teams previously, emphasizing flexibility and adaptability.

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Can you give an example of a time when you had to troubleshoot an issue?

When answering, select a specific instance where you encountered a technical problem. Explain your step-by-step approach to diagnosing the issue, brainstorming solutions, and successfully resolving it, emphasizing your problem-solving capabilities.

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What does it mean to write clean and scalable code to you?

Discuss the principles of clean coding, such as readability, maintainability, and modularity. Explain how you ensure your code is scalable, including practices like proper documentation, testing strategies, and code reviews.

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How do you prioritize tasks in a fast-paced development environment?

Share your methods for prioritization, focusing on assessing project requirements and deadlines. You can also include tools or frameworks you use to manage your workload effectively in a rapidly changing environment.

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What experience do you have with Docker or similar container tools?

Talk about any hands-on experience you have with containerization. Detail the specific projects where you utilized Docker and explain how it improved your development and deployment processes.

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How would you handle receiving critical feedback on your code?

Express your openness to feedback and learning opportunities. You can share a personal experience of receiving critique, detailing how you reflected on it and implemented the suggestions in your work moving forward.

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What interests you about working in the AI field?

Discuss your passion for AI and its applications in transforming industries. Share specific areas of AI that fascinate you, like conversational interfaces or machine learning, and how your background aligns with these interests.

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We are a group of Computer Science, and Staffing experts who built Gitty™ – an AI tech sourcing bot. Gitty™ uses proprietary algorithms, open-source data, and creativity to search and invite people who can tell a computer what to do, a.k.a. Softwa...

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Full-time, remote
DATE POSTED
April 2, 2025

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