Role Overview As a Customer Success Engineer, you are responsible for the health and real-world impact of our product from first installation through steady-state operations in customer sites (automotive manufacturing units). Embedded on-site, you monitor performance, resolve technical, issues, and champion user outcomes. Your goal is clear : ensure every system delivers measurable business value while building trust-based, long-term : Act as the onsite technical contact point, from installation to ongoing operations Troubleshoot hardware, software, and networking issues; escalate via structured reports to R&D. Build strong relationships with customer stakeholders, from frontline workers to senior executives and management, becoming trusted advisors. Capture field feedback and translate it into clear, actionable insights for the team Maintain structured daily, weekly, and monthly field reports covering issues, work-arounds, and follow-ups. Profile Experience with Linux administration, Bash scripting, and docker containers. Hands-on experience with networking such as IP networking (routing, DHCP, DNS), security, and real-time streaming protocols (WebRTC, RTSP) Familiarity with hardware components such as IMU, cameras, microphones for necessary calibrations & troubleshooting Comfortable understanding C++ and Python; able to write quick diagnostic scripts when needed. Strong communications skills in English and Hindi : both written and spoken Highly disciplined in documenting and reporting field work clearly and concisely Willing and able to spend good amount of your time at customer sites in India B.E & B.Tech from reputed institute (ref:hirist.tech)

About The Role Software Mathematics is seeking a self-driven Backend Developer to independently lead the development of integrations with third-party systems and APIs. In this solo development role, you will own the entire lifecycle of backend integration projects that power our AI-driven data automation platform. Your work will directly enable smarter workflows and seamless connectivity with popular enterprise Responsibilities : Design and develop scalable, secure backend services for third-party integrations (e.g., Salesforce, Shopify, Oracle, etc.). Build and maintain robust data pipelines and ETL processes. Translate product and AI team requirements into functional, production-ready code. Handle authentication, data transformation, and API communication with precision. Ensure code is modular, tested, and easily maintainable for long-term Requirements : 6+ years of backend development experience (solo project experience is a plus). Proficient in Python and modern frameworks like FastAPI, SQLAlchemy, etc. Deep understanding of REST APIs, webhooks, and authentication protocols (OAuth2, API tokens). Strong problem-solving skills and the ability to reverse-engineer third-party systems. Experience working with external APIs, cloud services, and database integrations. Comfortable working independently with high ownership and minimal supervision. Familiarity with enterprise systems like Salesforce, Shopify, Oracle, etc. Experience with containerization (Docker), CI/CD pipelines, and cloud platforms (AWS/GCP). Exposure to AI workflows or data automation tools. This is a hands-on role for someone who thrives on execution. Youll be building the real infrastructure that powers Software Mathematics : BE/ B.Tech Mode of work : Remote (ref:hirist.tech)

About The Role Software Mathematics is seeking a high-agency AI Engineer with strong Python expertise to independently lead and execute end-to-end development of cutting-edge AI solutions. This is a solo contributor role focused on building production-grade AI systems that automate and optimize complex data workflows. If you're excited about open-ended challenges, working independently, and shipping impactful features directly to users, this opportunity is for you. Key Responsibilities Independently design, develop, and deploy AI-powered systems using Python. Take ownership of full project lifecycles-from prototyping to production deployment. Work on unstructured and semi-structured data problems including extraction, transformation, and analysis. Build robust, scalable backend components integrating modern AI tools. Write clean, maintainable, and well-documented code with an emphasis on reliability. Ensure timely delivery of features with minimal supervision. Required Skills And Qualifications Proven proficiency in Python, especially in developing production-level systems. Solid understanding of AI and machine learning tools, including : Large Language Models (LLMs) LangChain or similar orchestration frameworks Vector databases (e.g., FAISS, Pinecone, Weaviate) Strong grasp of data structures, algorithms, and basic applied mathematics. Experience working with APIs, data pipelines, and task automation tools. Self-starter mindset: ability to take initiative, troubleshoot independently, and drive projects to completion without close supervision. Familiarity with cloud environments (e.g., AWS, GCP) and deployment practices is a plus. This is an applied research role-it's about building real, working systems from scratch. Mode of Work : Remote Education : BE/ B.Tech (ref:hirist.tech)