📋 Job Details at a Glance 📍 Location Remote — India 🏢 Company Hyperproof 👥 Experience 3-5 years 🎓 Qualification Bachelor’s degree in Computer Science, Mathematics or a related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹25–₹40 LPA 🏢 Industry Technology 🛠 Key Skills AI engineering agentic systems RAG pipelines AI evaluation backend development vector databases asynchronous programming AI safety PostgreSQL Node.js AI Engineer at Hyperproof — Full Details & How to Apply Hyperproof is seeking an AI Engineer to design and manage AI agents remotely in India . This role offers a unique chance to work with cutting-edge AI technologies and frameworks, making it a pivotal position in the company's growth strategy. The demand for AI Engineer jobs is surging as organizations increasingly rely on AI solutions for efficiency and innovation. This specific role at Hyperproof is crucial, as the company focuses on compliance and risk management solutions, which are becoming essential in the tech field. What sets Hyperproof apart is its rapid expansion since its founding in 2019 , now boasting over 200 employees . The company’s commitment to delivering high-quality AI-driven services enhances user experience and operational efficiency, making it an attractive employer for aspiring AI engineers. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s degree in Computer Science, Mathematics or a related field to apply. Candidates should have 3-5 years experience in relevant fields, with a competitive salary range of ₹25–₹40 LPA . In this role, you will gain hands-on experience with essential skills such as AI engineering , agentic systems , RAG pipelines , and vector databases . This exposure not only sets a strong foundation for your career but also opens doors to advanced positions in the tech industry. 📊 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 Engineer at Hyperproof is pivotal in designing and deploying advanced AI agents that enhance compliance solutions, ensuring high-quality outputs and seamless integration with existing systems. Design and deploy production-ready AI agents using Python and Node.js to enhance Hyperproof 's compliance solutions. Build and optimize retrieval-augmented generation (RAG) pipelines to improve data retrieval accuracy and efficiency, utilizing vector databases . Collaborate with product and data science teams to integrate foundation models through REST APIs , ensuring seamless functionality across platforms. Establish evaluation patterns for AI outputs, focusing on metrics like precision and recall to ensure high-quality deliverables. Take ownership of developing secure backend services, implementing encryption and access controls to protect sensitive data. Document technical processes and communicate findings to stakeholders, ensuring clarity and alignment across teams. Engage in problem-solving discussions with clients to tailor AI solutions that meet their specific compliance needs. In this role, you will have the opportunity to take ownership of projects, directly impacting the effectiveness of Hyperproof 's compliance solutions and client satisfaction. Required Skills & Technical Competencies The ideal candidate for the AI Engineer position at Hyperproof must possess a robust technical skill set tailored for AI development and backend services. Technical Skills AI engineering — advanced — crucial for developing and managing AI systems, requiring a deep understanding of algorithms and model training. PostgreSQL — intermediate — used for managing and querying data efficiently, essential for backend development in this role. Asynchronous programming — intermediate — necessary for building responsive applications that handle multiple tasks simultaneously. Vector databases — intermediate — important for storing and retrieving high-dimensional data, enhancing the performance of AI models. AI safety — advanced — evaluated through the implementation of safety guardrails and constraints to ensure ethical AI usage. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world applications. Eligibility Criteria This role is designed for candidates with a strong academic background and relevant experience in AI development, suitable for both fresh graduates and those with some industry exposure. A Bachelor's degree in Computer Science , Mathematics , or related fields is required. Eligible batches include 2023 to 2026 , allowing fresh graduates and those in their final years to apply. The role requires 3-5 years of experience in AI development. A minimum academic performance of 60% is preferred, ensuring a solid understanding of core concepts. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences. Include links to your GitHub or portfolio showcasing your projects. Pro tip: Tailor your application to highlight specific projects that align with Hyperproof 's focus on compliance solutions and AI technologies. Salary for AI Engineer at Hyperproof 💰 Compensation ₹25–₹40 LPA The advertised compensation for the AI Engineer role at Hyperproof 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 Engineer Upskilling with the right resources significantly enhances your chances of selection for the AI Engineer role at Hyperproof . Recommended Courses & Resources agentic systems — Understanding agentic systems is crucial for developing advanced AI solutions. PostgreSQL — Proficiency in PostgreSQL is essential for managing and querying data effectively. Node.js — Familiarity with Node.js is important for backend development in AI applications. Python — Python is a key programming language for AI engineering and data analysis. KodNest — This course enhances coding skills necessary for AI 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 to the job description — ensure your skills and experiences align with the role's requirements. ❌ Neglecting to showcase relevant projects in your portfolio — include specific examples that demonstrate your capabilities. ❌ Overlooking the importance of soft skills — highlight your ability to work in teams and communicate effectively. ❌ Submitting a generic cover letter — personalize it to reflect your interest in Hyperproof and the AI Engineer role. ❌ Ignoring the application deadline — ensure you apply well in advance to avoid last-minute issues. ❌ Not preparing for technical interviews — practice coding challenges and familiarize yourself with AI concepts. Before You Apply — Checklist ✅ Research Hyperproof's products and culture to tailor your application effectively. ✅ Update your resume to reflect relevant skills and experiences for the AI Engineer role. ✅ Prepare a portfolio showcasing your projects related to AI engineering. ✅ Gather references who can speak to your technical skills and work ethic. ✅ Complete the online application form accurately and thoroughly. ✅ Follow up on your application status after submission to express continued interest. ✅ Prepare for potential interviews by practicing common technical and behavioral questions. ✅ Stay informed about industry trends in AI to discuss during interviews. Resume Tailoring & ATS Keywords for AI Engineer Optimizing your resume for ATS is crucial for securing the AI Engineer position at Hyperproof . ATS Keywords to Include AI engineering RAG pipelines PostgreSQL Node.js Python asynchronous programming AI safety backend development REST APIs GitHub Azure AWS Resume Tips for This Role Highlight your experience with AI engineering projects, focusing on specific technologies mentioned in the job description. Emphasize teamwork and collaboration skills, particularly in cross-functional settings, to align with Hyperproof 's culture. Include a link to your GitHub or portfolio showcasing relevant projects, demonstrating your practical skills. Optimize your resume for ATS by using keywords from the job description, ensuring it passes initial screenings. Avoid including irrelevant work experience or skills that do not relate to the AI engineering role. 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 Engineer position. How to Apply for AI Engineer at Hyperproof Apply Now — Hyperproof Visit the Hyperproof careers page and locate the AI Engineer job listing. Prepare your resume, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, providing all necessary details. After submission, expect a confirmation email regarding your application status. Use the application tracking feature to monitor your application's progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Hyperproof NexisGrow.com does not charge any fees for job applications. Hyperproof Hyperproof was founded in 2019 and is headquartered in Seattle, Washington . With a growing global presence, particularly in India , the company has expanded its remote workforce significantly. Currently, Hyperproof employs over 200 professionals dedicated to enhancing compliance and risk management solutions. The company specializes in innovative compliance and risk management software, including its flagship product, Hyperproof Compliance . This platform enables organizations to streamline their compliance processes and improve accountability through advanced features like automated workflows and real-time reporting. Hyperproof also integrates seamlessly with popular tools such as Slack and Jira . Hyperproof fosters a culture of innovation and collaboration, reflected in its impressive Glassdoor rating of 4.5 out of 5 . The company actively promotes employee development through various programs, including mentorship initiatives and skill-building workshops. This commitment to employee satisfaction has earned Hyperproof recognition as one of the best places to work in the tech industry. Recently, Hyperproof secured $30 million in Series B funding , which will be directed towards enhancing its AI capabilities and expanding its product offerings. This investment positions Hyperproof to further innovate in the compliance space, particularly through the integration of AI technologies that improve risk assessment and management. For freshers in technology, Hyperproof offers a unique career launchpad. With opportunities to work on cutting-edge projects in AI engineering and compliance, new hires can rapidly develop their skills in a supportive environment. The company's focus on innovation and employee growth makes it an ideal place for aspiring tech professionals. Company Details Industry Technology Location Remote — India Connect With Us Careers Apply Now Website 🔗 hyperproof.io Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Engineer at Hyperproof? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree in Computer Science, Mathematics or a related field and 3-5 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: AI engineering, agentic systems, RAG pipelines, AI evaluation, backend development. 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 Hyperproof? 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: AI engineering, agentic systems, RAG pipelines, AI evaluation, backend development. ? 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 Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of AI engineering, agentic systems, RAG pipelines, AI evaluation, backend development, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Hyperproof research, (5) Clear communication. ? What is the work culture like at Hyperproof? 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 Remote — India Browse all Tech jobs Latest Fresher jobs More jobs at Hyperproof Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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