📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company Mindtickle 👥 Experience 3+ years 🎓 Qualification Bachelor’s degree in Computer Science or Engineering 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹25–₹40 LPA 🏢 Industry Technology 🛠 Key Skills Python FastAPI Django APIs middleware webhooks SaaS integrations production-grade application development LLM APIs agentic workflows AI Product Engineer at Mindtickle — Full Details & How to Apply Mindtickle is seeking an AI Product Engineer in Pune, Maharashtra, India , where you can leverage your skills in Python and AI engineering to build innovative solutions for enterprise intelligence. This role is pivotal as the demand for AI-driven solutions in the B2B SaaS sector continues to surge. The significance of the AI Product Engineer role at Mindtickle cannot be overstated. As the company expands its innovative sales readiness platform, this position plays a crucial part in enhancing how data is processed and utilized, directly impacting user experience and operational efficiency. The focus on AI technologies positions Mindtickle at the forefront of industry trends, making this an essential role for tech professionals. What sets Mindtickle apart as an employer is its impressive growth since its founding in 2011 , now boasting over 500 employees. The company is recognized for its cutting-edge solutions in sales readiness, fostering a culture of innovation and collaboration. This environment not only supports professional development but also encourages employees to work on advanced technologies that shape the future of enterprise intelligence. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s degree in Computer Science or Engineering and 3+ years experience to consider this opportunity. The competitive salary range of ₹25–₹40 LPA reflects the value placed on skilled professionals in this field, making it an attractive option for those looking to advance their careers. In this role, you will gain hands-on experience with essential skills such as FastAPI , Django , APIs , middleware , and LLM APIs . Working with orchestration frameworks and real-time pipelines will not only enhance your technical expertise but also open doors to advanced career opportunities in AI and software development, setting you apart from peers in traditional software roles. 📊 Role Difficulty: Medium | Competition Level: Medium | 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 Product Engineer at Mindtickle will develop and maintain a unified enterprise-intelligence layer, leveraging Python and FastAPI to enhance data processing and AI integration. Develop and maintain Mindtickle ’s enterprise-intelligence layer using Python and FastAPI to streamline data processing and improve operational efficiency. Implement LLM APIs to create agentic workflows that enhance user interactions and automate critical business processes. Collaborate with cross-functional teams, including Product Operations and Data Engineering, to ensure seamless integration of AI solutions . Analyze B2B SaaS metrics to evaluate the performance of AI-triggered workflows and optimize user engagement strategies. Take ownership of the development lifecycle, ensuring production-grade applications meet security and privacy standards through rigorous testing. Document technical specifications and communicate project updates to stakeholders using Jira and Confluence for effective project management. Engage with clients to troubleshoot issues related to AI workflows and provide tailored solutions that enhance user satisfaction. This role fosters an ownership culture, allowing engineers to directly impact product development and client success through innovative AI solutions. Required Skills & Technical Competencies The ideal candidate for the AI Product Engineer role must possess a robust technical skill set to effectively contribute to Mindtickle ’s AI initiatives. Technical Skills Python — advanced — essential for backend development and integration with AI models, requiring proficiency in writing efficient code. FastAPI — advanced — used for building APIs that support real-time data processing, crucial for the role's focus on enterprise intelligence. Django — intermediate — utilized for developing scalable web applications, ensuring robust architecture for Mindtickle 's platform. SQL — advanced — necessary for managing and querying databases, particularly with Snowflake and BigQuery for data analytics. Experience with LLM APIs — intermediate — evaluated through practical coding assessments to demonstrate understanding of AI integration. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong technical background and relevant experience in AI and software development. A Bachelor’s degree in Computer Science or Engineering is required, providing foundational knowledge for software development. Eligible batches include 2023 to 2026 , allowing recent graduates to apply their academic knowledge in a practical setting. Candidates with 3+ years of experience are preferred, but freshers with relevant internships or projects may also be considered. A minimum CGPA of 7.0 is expected, ensuring a solid academic background in technical subjects. Having a portfolio or GitHub showcasing relevant projects will give candidates an advantage in demonstrating their skills. Documentation & Portfolio Requirements Submit your resume in PDF format, including a summary of your technical skills, relevant projects, and any certifications that highlight your qualifications. Pro tip: Highlight specific projects on your GitHub that demonstrate your experience with Python , FastAPI , and LLM APIs to stand out in your application. Salary for AI Product Engineer at Mindtickle 💰 Compensation ₹25–₹40 LPA The advertised compensation for the AI Product Engineer role at Mindtickle is ₹25–₹40 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI Product Engineer Upskilling with the right resources significantly enhances your chances of selection for the AI Product Engineer role at Mindtickle . Recommended Courses & Resources Python — Essential for developing AI applications and backend services. Django — Crucial for building robust web applications in Python. APIs — Understanding APIs is vital for integrating various services and applications. production-grade application development — Focuses on creating scalable and maintainable software solutions. KodNest — Offers hands-on experience with real-world projects in AI and software development. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills for the AI Product Engineer role. ❌ Neglecting practical experience — Showcase your work with LLM APIs or real-time data processing. ❌ Overlooking teamwork documentation — Document collaborative projects or experiences effectively. ❌ Submitting a generic cover letter — Personalize it to reflect your interest in Mindtickle . ❌ Ignoring application deadlines — Always adhere to submission timelines and instructions. ❌ Not preparing for technical interviews — Practice coding problems relevant to the role. Before You Apply — Checklist ✅ Research Mindtickle 's products and recent news to tailor your application. ✅ Update your resume to reflect relevant skills and experiences. ✅ Prepare a cover letter that expresses your enthusiasm for the AI Product Engineer role. ✅ Gather references or recommendations from professors or previous employers. ✅ Ensure your LinkedIn profile is updated and aligns with your resume. ✅ Practice coding challenges and technical questions related to AI and Python . ✅ Double-check application materials for errors before submission. ✅ Follow up on your application status after a week. Resume Tailoring & ATS Keywords for AI Product Engineer Optimizing your resume for ATS is crucial for standing out in the selection process for the AI Product Engineer role. ATS Keywords to Include AI Product Engineer Python FastAPI Django LLM APIs SQL B2B SaaS real-time pipelines Snowflake BigQuery SaaS integrations agentic workflows Resume Tips for This Role Highlight your experience with Python and FastAPI , as these are critical for the role. Emphasize any projects related to AI or SaaS that demonstrate your technical skills. Include links to your GitHub or portfolio showcasing relevant work to stand out. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not showcase your technical abilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including generic skills or experiences that do not directly relate to the AI Product Engineer role. How to Apply for AI Product Engineer at Mindtickle Apply Now — Mindtickle Visit the Mindtickle application portal and create an account. Upload your resume in PDF format, ensuring it is tailored for the AI Product Engineer role. Fill out the application form with accurate personal and educational details. After submission, expect a confirmation email regarding your application status. You can track your application progress through the portal. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Mindtickle NexisGrow.com does not charge any fees for job applications. Mindtickle Mindtickle was founded in 2011 and is headquartered in Pune, Maharashtra . With a global presence in North America and Europe , the company employs over 500 professionals . This scale allows Mindtickle to leverage diverse talent and insights, enhancing its innovative capabilities in the technology sector. The core offering of Mindtickle is its sales readiness platform, which integrates training, coaching, and analytics. This platform is designed to enhance sales performance through features like real-time analytics and AI-driven insights . By focusing on B2B SaaS metrics , Mindtickle provides businesses with the tools necessary to optimize their sales processes. Mindtickle has received a 4.5-star rating on Glassdoor , reflecting its collaborative culture and commitment to employee growth. The company offers various employee programs, including mentorship initiatives and skill development workshops, fostering an environment where professionals can thrive and advance their careers. Recently, Mindtickle secured $100 million in Series E funding , which will enable further investment in AI technologies and product expansion. This funding is aimed at enhancing its platform capabilities, particularly in areas like LLM APIs and orchestration frameworks , positioning Mindtickle for future growth. Joining Mindtickle as a fresher provides a unique launchpad into the tech industry. With access to cutting-edge projects and mentorship from experienced professionals, new hires can rapidly develop their skills in areas such as middleware and production-grade application development , making it an ideal environment for career growth. Company Details Industry Technology Location Pune, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 jobs.lever.co Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Product Engineer at Mindtickle? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree in Computer Science or Engineering and 3+ 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, FastAPI, Django, APIs, middleware. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹25–₹40 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Mindtickle? 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, FastAPI, Django, APIs, middleware. ? 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 Product Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, FastAPI, Django, APIs, middleware, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Mindtickle research, (5) Clear communication. ? What is the work culture like at Mindtickle? 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 Pune Browse all Tech jobs Latest Fresher jobs More jobs at Mindtickle Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com