📋 Job Details at a Glance 📍 Location Remote — India 🏢 Company Clera 👥 Experience 3-5 years 🎓 Qualification At least 3 years of experience as a software, infrastructure, or product engineer building and deploying production systems. 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python React Next.js PostgreSQL Docker APIs AI Infrastructure / Product Engineer, Mid-Level at Clera — Full Details & How to Apply Clera is seeking a Mid-Level AI Infrastructure / Product Engineer to build evaluation pipelines for AI systems in a remote role. This position is crucial for developing benchmarks that measure AI performance, directly impacting product quality and innovation. The demand for skilled professionals in AI Infrastructure is surging as companies increasingly rely on data-driven solutions. This AI Infrastructure / Product Engineer, Mid-Level role at Clera is pivotal in shaping the future of technology, particularly in enhancing AI system performance through robust evaluation pipelines and backend services. What sets Clera apart is its commitment to leveraging cutting-edge technology and fostering a collaborative work environment. As a leader in the tech industry, Clera focuses on building scalable solutions that enhance user experience, making it an attractive employer for those looking to advance their careers in tech. This role is ideal for candidates from the 2023, 2024, 2025, 2026 batches with at least 3 years of experience as a software, infrastructure, or product engineer building and deploying production systems . Candidates should possess 3-5 years experience in relevant fields. Salary details are Not Disclosed . In this role, you will gain hands-on experience with technologies like Python , React , Next.js , PostgreSQL , Docker , and APIs . This experience will open doors to advanced positions in AI and software engineering, allowing you to contribute significantly to innovative projects and enhance your career trajectory. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No 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 core mission of the AI Infrastructure / Product Engineer at Clera is to enhance machine learning systems through rigorous performance evaluation and robust backend development, ensuring high reliability and efficiency. Build repeatable benchmarks and evaluation pipelines to measure accuracy, hallucinations, retrieval quality, latency, and cost using Python . Create dashboards that visualize performance metrics leveraging React and PostgreSQL for effective data representation. Collaborate with engineering teams to develop backend services and APIs for testing and releasing improvements, enhancing system functionality. Monitor and analyze performance data to ensure the effectiveness of machine learning systems, utilizing Docker for containerization. Maintain and support existing codebases while implementing new features and improvements in Python to optimize performance. Document processes and create reports to improve operational efficiency, ensuring clarity in API integrations. Troubleshoot production issues and provide solutions to enhance system reliability, focusing on PostgreSQL database management. This role fosters an ownership culture, allowing engineers to directly impact the performance and reliability of critical systems at Clera . Required Skills & Technical Competencies The ideal candidate for the AI Infrastructure / Product Engineer position must possess a robust technical skill set to effectively build and deploy production systems. Technical Skills Python — advanced — essential for building and deploying production systems, ensuring high performance and reliability. React — intermediate — used for creating user interfaces in dashboards that visualize performance metrics. Next.js — intermediate — utilized for server-side rendering and optimizing web applications, enhancing user experience. PostgreSQL — advanced — important for managing databases within backend services, ensuring data integrity and accessibility. Docker — intermediate — critical for containerization and deployment of applications, streamlining development processes. APIs — advanced — necessary for developing backend services that facilitate testing and improvements in machine learning systems. When showcasing these technical skills in your resume or interview, emphasize specific projects and outcomes that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with substantial experience in software, infrastructure, or product engineering, specifically in building production systems. Minimum of 3 years of experience in software, infrastructure, or product engineering. Eligible batches are 2023, 2024, 2025, and 2026 . Experience should range from 3 to 5 years , with no freshers accepted. Academic performance requirements are not specified. Projects, GitHub contributions, internships, or certifications are not explicitly required. Documentation & Portfolio Requirements Submit your resume in a clear format, including relevant experience, technical skills, and any notable projects that demonstrate your capabilities. Pro tip: Highlight specific achievements and metrics from your previous roles that align with the responsibilities of this position to stand out in your application. Salary for AI Infrastructure / Product Engineer, Mid-Level at Clera 💰 Compensation Not Disclosed The advertised compensation for the AI Infrastructure / Product Engineer, Mid-Level role at Clera is Not Disclosed . 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 Infrastructure / Product Engineer, Mid-Level Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources Python — Essential for backend development and machine learning tasks. React — Vital for building user interfaces in your projects. PostgreSQL — Crucial for managing databases effectively. Docker — Important for containerization and deployment of applications. KodNest — Offers practical projects to enhance your coding skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating strong Python skills — Ensure your resume includes relevant projects. ❌ Using a generic resume — Tailor it to the specific responsibilities and skills listed in the job description. ❌ Listing technologies like Docker without details — Specify where you applied them in a project or previous role. ❌ Ignoring the experience requirement of 3-5 years — Ensure you meet the eligibility criteria. ❌ Adding unrelated technologies or unsupported claims — Focus on relevant experience to avoid ATS rejection. ❌ Not checking the official Apply URL — Verify job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for AI Infrastructure / Product Engineer, Mid-Level Optimizing your resume for ATS is crucial for this role to ensure it passes initial screenings and highlights your relevant skills. ATS Keywords to Include Python React Next.js PostgreSQL Docker APIs evaluation pipelines benchmarks backend services machine learning production systems dashboards Resume Tips for This Role Highlight your experience with Python prominently, as it is a key requirement for the role. Emphasize your familiarity with Docker and PostgreSQL , as these tools are critical for the responsibilities outlined. Showcase a project where you built an evaluation pipeline or dashboard using the specified technologies. Use exact keywords from the job description naturally to align with ATS requirements. Avoid including unsupported claims or technologies that you cannot substantiate with experience. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated technologies or unsupported claims in your resume, as this can lead to disqualification. How to Apply for AI Infrastructure / Product Engineer, Mid-Level at Clera Apply Now — Clera Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Clera NexisGrow.com does not charge any fees for job applications. Clera Clera was founded in 2015 and has rapidly grown to employ over 500 professionals . With its headquarters in Bangalore, India , the company has established a significant global presence, serving clients across multiple continents. This growth trajectory highlights Clera's commitment to innovation in the technology sector. At the core of Clera's offerings are advanced solutions in AI and cloud computing. The company specializes in developing AI-driven applications and utilizes platforms like Docker and PostgreSQL to enhance its product suite. These technologies enable Clera to deliver robust and scalable solutions tailored to client needs. Clera fosters a collaborative culture that emphasizes continuous learning and professional development. The company has received accolades for its employee engagement initiatives, including recognition as a Top Workplace in 2022 . Programs focused on mentorship and skill enhancement are integral to Clera's approach to nurturing talent. Recently, Clera announced a strategic partnership with a leading tech firm to enhance its AI capabilities. This development is part of a broader initiative to expand its service offerings and improve operational efficiency. Such partnerships reflect Clera's ambition to stay at the forefront of technological advancements. For freshers in technology, Clera represents a strong career launchpad. The role of AI Infrastructure / Product Engineer offers exposure to cutting-edge technologies like React and Next.js , allowing new talent to gain valuable experience in full-stack development. This environment encourages innovation and skill development, making it an ideal starting point for aspiring engineers. Company Details Industry Technology Location Remote — India Connect With Us Careers Apply Now Website 🔗 jobs.ashbyhq.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Infrastructure / Product Engineer, Mid-Level at Clera? Eligibility Tap to expand + Answer Candidates with At least 3 years of experience as a software, infrastructure, or product engineer building and deploying production systems. 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: Python, React, Next.js, PostgreSQL, Docker. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Clera? 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, React, Next.js, PostgreSQL, Docker. ? 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 Infrastructure / Product Engineer, Mid-Level interview? Preparation Tap to expand + Answer (1) Core concepts of Python, React, Next.js, PostgreSQL, Docker, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Clera research, (5) Clear communication. ? What is the work culture like at Clera? 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 Clera Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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