📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Headout 👥 Experience 2+ years 🎓 Qualification Bachelor's degree in Computer Science, Information Technology, or a related technical discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12.0 – ₹20.0 LPA (Highly competitive, reflecting specialized AI engineering standards and startup growth incentives) 🏢 Industry Technology 🛠 Key Skills Python TypeScript AI-powered applications LLMs OpenAI Anthropic LangChain LlamaIndex n8n APIs AI GTM Engineer at Headout — Full Details & How to Apply Headout is seeking an AI GTM Engineer to drive AI-powered growth systems in Bengaluru, Karnataka, India . This role offers freshers a chance to work with cutting-edge AI technologies and frameworks, making it a pivotal opportunity in the tech landscape. The demand for AI-driven solutions is surging, and the AI GTM Engineer role is crucial for Headout 's growth strategy. As the company expands its reach, leveraging AI technologies will enhance user engagement and streamline operations, positioning Headout at the forefront of the travel and experiences sector. Founded in 2014 , Headout has grown to serve over 1 million customers globally, focusing on innovative travel solutions. The company’s commitment to integrating advanced technologies into its services makes it an attractive employer for those looking to build a career in the tech industry. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's degree in Computer Science, Information Technology, or a related technical discipline to apply. Candidates should have 2+ years experience in relevant fields. The salary for this position ranges from ₹12.0 – ₹20.0 LPA , reflecting specialized AI engineering standards and startup growth incentives. In this role, you will gain hands-on experience with essential skills such as Python , TypeScript , and advanced tools like LangChain and LlamaIndex . This exposure not only enhances your technical expertise but also opens doors to advanced career opportunities in AI and software engineering. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The AI GTM Engineer at Headout is tasked with designing and implementing AI-driven growth systems that enhance user experiences through innovative technologies. Design and implement AI-driven growth systems using Python and TypeScript to improve user engagement and streamline processes. Integrate production-grade LLM workflows with tools like LangChain and LlamaIndex to ensure seamless operations across platforms. Collaborate with product and marketing teams to align AI initiatives with business goals, ensuring strategic implementation. Analyze performance metrics to optimize AI applications, focusing on enhancing customer engagement and satisfaction. Take ownership of projects from conception to deployment, ensuring high-quality deliverables that meet business objectives. Document technical processes and communicate findings to stakeholders, fostering transparency and collaboration. Provide technical support and solutions to clients using AI-powered applications , ensuring effective utilization of technology. This role promotes a culture of ownership, allowing engineers to make a direct impact on the company's growth and innovation. Required Skills & Technical Competencies The ideal candidate must possess a robust skill profile that includes both technical and soft skills tailored for the AI GTM Engineer role. Technical Skills Python — advanced — essential for developing efficient, production-ready AI applications. TypeScript — intermediate — used for building scalable web applications that enhance user experience. LLMs — advanced — experience with OpenAI and Anthropic is necessary for creating advanced AI solutions. APIs — intermediate — knowledge is vital for integrating various platforms like Salesforce and HubSpot . Webhooks — intermediate — used to facilitate real-time data transfer between applications. OAuth — intermediate — important for implementing secure authentication in applications. n8n — intermediate — familiarity can streamline automation processes, enhancing productivity. Clay — intermediate — knowledge can provide insights into customer relationship management. Soft Skills & Professional Competencies Strong problem-solving skills to troubleshoot issues and enhance system performance effectively. Excellent communication skills for documenting processes and conveying technical findings to stakeholders. Ability to collaborate effectively with cross-functional teams to align AI initiatives with business objectives. Detail-oriented mindset to ensure high-quality deliverables and adherence to project timelines. Good to Have (Bonus Skills) Familiarity with n8n can streamline automation processes, enhancing productivity in this role. Experience with OAuth will help in implementing secure authentication for applications. Knowledge of Clay can provide insights into customer relationship management, improving user engagement. When showcasing these skills in your resume or interview, emphasize specific projects where you utilized these technologies effectively. Eligibility Criteria This role is designed for candidates with a strong technical foundation and relevant experience in software engineering or applied AI . A Bachelor's degree in Computer Science or a related field is required. Eligible batches include 2023 to 2026 , allowing fresh graduates to apply. At least 2 years of relevant experience in software engineering or applied AI is necessary. A minimum CGPA of 7.0 is preferred to demonstrate academic proficiency. A portfolio or GitHub showcasing relevant projects can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, highlighting your technical skills and relevant projects. Include links to your GitHub or portfolio for better visibility. Pro tip: Tailor your application to highlight specific experiences with AI technologies and tools mentioned in the job description. Salary for AI GTM Engineer at Headout 💰 Compensation ₹12.0 – ₹20.0 LPA (Highly competitive, reflecting specialized AI engineering standards and startup growth incentives) The advertised compensation for the AI GTM Engineer role at Headout is ₹12.0 – ₹20.0 LPA (Highly competitive, reflecting specialized AI engineering standards and startup growth incentives) . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Headout The selection process for the AI GTM Engineer role at Headout is designed to identify candidates who excel in technical skills and cultural fit. 1 Online Coding Test — 60 minutes, assessing Python and TypeScript coding skills. 2 Technical Interview — in-depth discussion on LLMs, APIs, and automation tools. 3 Behavioral Interview — evaluating cultural fit and problem-solving abilities. 4 HR Interview — discussing salary expectations and company culture. Topic-wise Preparation Guide Round 1: Online Coding Test Data Structures — understanding arrays, lists, and dictionaries is crucial for coding tasks — GeeksForGeeks Algorithms — focus on sorting and searching algorithms relevant to AI applications — LeetCode Python Basics — ensure proficiency in syntax, functions, and libraries — W3Schools TypeScript Fundamentals — grasp the differences from JavaScript and its application in web development — Udemy Round 2: Technical Interview LLMs — deep dive into OpenAI and Anthropic, understanding their applications in real-world scenarios — Coursera APIs — learn how to create and consume APIs, focusing on RESTful services — freeCodeCamp Webhooks — understand their implementation and use cases in automation — YouTube OAuth — study its role in securing applications and user data — Khan Academy Automation Tools — familiarize yourself with n8n and its integration capabilities — n8n Documentation Round 3: Behavioral Interview Behavioral questions — prepare using the STAR method to articulate past experiences. Team Collaboration — discuss experiences working in cross-functional teams. Technical Deep-Dive — be ready to explain a complex project you've worked on, focusing on your role. Timeline & Expectations The entire selection process typically spans 2-3 weeks from application to offer. Focus on demonstrating both your technical expertise and cultural alignment with Headout during the interviews. Expected Interview Questions for AI GTM Engineer at Headout The following questions are tailored to assess your expertise in the role's specific tech stack. Technical Questions Explain how you would implement an LLM using OpenAI in a production environment. What are the key differences between Python and TypeScript in terms of type safety? How do you handle API rate limits when integrating third-party services? Describe your experience with LangChain and its benefits in AI applications. What challenges have you faced while automating workflows using n8n? How would you optimize an AI model for better performance? Behavioral Questions Describe a time you faced a technical challenge and how you overcame it. How do you prioritize tasks when working on multiple projects? Can you provide an example of a successful collaboration with a team member? What motivates you to work in the AI field? Role-Specific Questions What strategies would you use to enhance user engagement through AI? How do you ensure the quality of AI-driven applications? What is your approach to documenting technical processes? Structure your answers using the STAR method to provide clear and concise responses. Resume Tailoring & ATS Keywords for AI GTM Engineer Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include AI GTM Engineer Python TypeScript LLMs OpenAI Anthropic LangChain LlamaIndex n8n APIs OAuth Salesforce Resume Tips for This Role Highlight your experience with Python and TypeScript, focusing on projects that demonstrate your coding skills. Emphasize any hands-on experience with AI technologies, particularly LLMs. Include links to your portfolio or GitHub showcasing relevant projects to stand out. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or unrelated job experiences that do not align with the AI GTM Engineer role. About Headout Founded in 2014 , Headout is headquartered in Bengaluru, Karnataka , and operates in over 30 countries . The company has rapidly scaled its operations, establishing a significant global footprint that caters to travelers seeking unique experiences. With a focus on technology, Headout has become a key player in the travel industry. Headout offers a platform that enables users to seamlessly book travel experiences and activities, including tours, events, and local attractions. Utilizing cutting-edge technology, the platform integrates various services to enhance user experience, making it a go-to solution for travelers looking for convenience and variety. The company culture at Headout is characterized by collaboration and innovation, earning it a 4.5-star rating on Glassdoor . Employees benefit from various programs that promote professional growth and teamwork, fostering an environment where ideas can flourish and contribute to the company’s success. Recently, Headout secured $12 million in funding aimed at expanding its AI capabilities. This investment will enhance customer experience and streamline operations, positioning Headout as a leader in integrating AI technologies within the travel sector. For freshers in technology, Headout serves as a robust career launchpad. The company offers unique opportunities to work on innovative projects, allowing new talent to build a strong foundation in the tech industry while gaining hands-on experience with advanced technologies. Why Join Headout as AI GTM Engineer? Joining Headout as an AI GTM Engineer offers a unique chance to work at the intersection of travel and technology, where your contributions will directly influence the customer experience. Hands-On Experience — Engage with AI orchestration frameworks like LangChain, essential for developing modern applications. Industry-Standard Tools — Work with leading technologies such as OpenAI and Anthropic, enhancing your expertise in AI applications. Career Advancement — After 1-2 years, explore potential career paths like AI Product Manager or Senior Software Engineer. Culture of Innovation — Collaborate across departments, sharing ideas that drive the company forward and foster creativity. Vibrant Lifestyle — Enjoy the dynamic tech community in Bengaluru , complemented by Headout 's support for hybrid work arrangements. According to NexisGrow.com, the role of AI GTM Engineer at Headout not only enhances your technical skills but also places you in a thriving environment that values innovation and collaboration. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI GTM Engineer at Headout? Eligibility Tap to expand + Answer Candidates with Bachelor's degree in Computer Science, Information Technology, or a related technical discipline and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, TypeScript, AI-powered applications, LLMs, OpenAI. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12.0 – ₹20.0 LPA (Highly competitive, reflecting specialized AI engineering standards and startup growth incentives). Final offer depends on skills, experience, and interview performance. ? What is the interview process at Headout? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, TypeScript, AI-powered applications, LLMs, OpenAI. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI GTM Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, TypeScript, AI-powered applications, LLMs, OpenAI, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Headout research, (5) Clear communication. ? What is the work culture like at Headout? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Headout Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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