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AI Engineer (Full Stack Development) Job Opening In Gurugram – Now Hiring Maker Lab


Job description

Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up.

Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production.

Role Summary:

We’re looking for an AI Engineer for our holding company, Miroma, to support the workflows and the development of AI for our group of agencies.

This role will work closely with the innovation team to deliver scalable AI solutions.

Role

  • Design, build, test, and deploy production-grade AI solutions using Python, TypeScript/JavaScript, and cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
  • Take complete ownership of AI use cases, from initial technical design and architecture through to deployment, monitoring, and iteration.

    Translate ambiguous business needs into robust and scalable technical systems.
  • Engineer complex integrations with a diverse ecosystem of modern APIs, including leading AI models, cloud data platforms, and enterprise SaaS applications across departments like Marketing, HR, Legal, and Finance.
  • Identify and abstract common patterns to build robust, reusable components and engines.

    Your work will establish a foundation that accelerates future development and scales our impact across the organization.
  • Provide critical production support by rapidly troubleshooting, debugging, and resolving integration issues and system failures to ensure high availability and performance.

You:

  • At least 3+ years of professional experience in a full-stack development role with a verifiable portfolio of shipped projects.
  • Strong, hands-on proficiency in both Python and TypeScript/JavaScript.
  • Experience with a major cloud provider (AWS, Azure, GCP).

    Hands-on experience with Google Cloud Platform (GCP), particularly serverless components like Cloud Functions and Firestore, is strongly preferred.
  • Experience integrating a variety of third-party REST and/or GraphQL APIs, including expertise in handling complex authentication flows and data transformation.
  • Experience with LLM API integrations (e.g., Gemini, OpenAI, Anthropic).

    This must include practical application of prompt engineering, function/tool calling, and parsing complex model responses.
  • A track record of delivering complete solutions with a high degree of autonomy and minimal supervision.
  • A mindset of quality ownership, demonstrated by writing clean, maintainable, and production-ready code.

    Candidates must have proven experience defining and implementing their own unit and integration tests.
  • Familiarity with workflow automation tools is preferred.

Contract Type: Freelance contract for 3 months

Please note: due to the high volume of applications, only successful candidates will be contacted with a follow-up introduction email.  If you do not receive an email from Maker Lab, your application has been unsuccessful this time around.

Look out for future roles! By submitting your application, you consent to the collection, use and disclosure of your data by the Maker Lab team for the purposes of your application.

Where your application contains personal data of third parties, you confirm that you have obtained all necessary consents to provide the Maker Lab team with such personal data and that we may collect, use and/or disclose such data in accordance with the Personal Data Protection Act 2012.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI Engineer Potential: Insight & Career Growth Guide


Real-time AI Engineer Jobs Trends (Graphical Representation)

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Are You Looking for AI Engineer (Full Stack Development) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Maker Lab adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for AI Engineer (Full Stack Development) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Gurugram. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for AI Engineer (Full Stack Development) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for AI Engineer (Full Stack Development) Job Success

Maker Lab interview tips for AI Engineer (Full Stack Development)

Here are some tips to help you prepare for and ace your AI Engineer (Full Stack Development) job interview:

Before the Interview:

Research: Learn about the Maker Lab's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI Engineer (Full Stack Development) interview at Maker Lab, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Maker Lab's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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