Responsibilities• Work on various challenging and rewarding projects across different software development domains. • Get hands-on experience with the latest programming languages, frameworks, and technologies. • Collaborate with experienced developers and learn from their expertise. • Contribute to code reviews and participate in discussions about design and implementation. • Write clean, efficient, and well-documented code. • Test and debug existing code to ensure quality and functionality. • Learn about the software development lifecycle and agile methodologies. Qualification & Experience   • A current undergraduate or graduate student in computer science, software engineering, or a related field.• Strong programming skills in at least one programming language (e.g., Python, Go, JavaScript, Typescript).• Excellent analytical and problem-solving skills. • A passion for learning and a willingness to take on new challenges. • Strong communication and collaboration skills. • Ability to work independently and as part of a team.

ResponsibilitiesDevelopment and Coding: Assist in the development and maintenance of software applications, working with programming languages such as Java and other relevant technologies. Write clean, efficient, and maintainable code under the guidance of senior engineers. Collaborate with team members to implement software engineering best practices, including unit testing and code reviews. Learning and Collaboration: Work closely with cross-functional teams to understand project requirements and contribute to product development. Learn to balance the need for delivering high-quality solutions with the urgency of meeting project deadlines. Participate in team discussions, code reviews, and problem-solving sessions to gain hands-on experience in real-world projects. Innovation and Problem Solving: Assist in troubleshooting and debugging software issues. Actively engage in the continuous learning process, staying up-to-date with new technologies and industry trends. Experiment with new ideas and solutions that can improve the product's performance or user experience. Qualification & Experience   Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field. Familiarity with at least one programming language such as Java or any other functional language. Basic understanding of software development concepts, such as coding, testing, and documentation. Strong problem-solving skills and a willingness to learn and adapt in a fast-paced environment. Ability to work collaboratively in a team-oriented setting.

ResponsibilitiesDevelop and maintain backend services using Python Build and consume REST APIs Work on data processing / ETL pipelines Write scripts for automation and optimization Debug issues and improve code performance Collaborate with team members on feature developmentQualification & Experience   Strong basics in Python Understanding of OOP concepts Familiarity with data structures & algorithms Basic knowledge of REST APIs Experience with Git/version control

ResponsibilitiesDevelop and maintain backend services using Java Work with Spring Boot to build microservices Design and consume REST APIs Assist in debugging, testing, and performance tuning Participate in code reviews and documentation Collaborate with cross-functional teams Qualification & Experience   Strong fundamentals in Java Understanding of OOP and core Java concepts Knowledge of data structures & algorithms Basic understanding of REST APIs Familiarity with Git/version control

ResponsibilitiesUse-case discovery & requirements Partner with business teams to understand workflows, pain points, and desired outcomes.Convert use cases into clear specs: user stories, data needs, constraints, and success metrics (what “good” looks like)Build prototypes using AI tools & lightweight engineering Rapidly build POCs/MVPs using AI tools and LLM APIs.Build simple internal apps or utilities (scripts, dashboards, small web apps) to prove value quickly.Experimentation & evaluation Run comparisons across model/tool choices; document findings and recommend what to scale.Create small test sets / evaluation rubrics so the team can measure quality over time.Knowledge management support (migration + automation) Support KM data migration and cleanup (structuring and tagging metadata) to make the knowledge base easily discoverable and usable via Gemini.Assist with pilots for internal KM search workflows (e.g., controlled testing before org-wide rollout)Qualification & ExperienceCuriosity, speed, and willingness to iterate based on feedback. CS / IS (or equivalent) background; comfortable writing code (Python/ JavaScript). Familiarity with LLM APIs, prompt engineering, embeddings, RAG, building basic web apps. Ability to talk to non-technical stakeholders, capture requirements, and explain trade-offs. Outcome-oriented, comfortable with ambiguity, and able to ship incremental improvements.

ResponsibilitiesDevelop and test computer vision models using real-world and curated datasets. Handle image data preprocessing, annotation, and dataset management. Implement computer vision and deep learning techniques under the guidance of senior engineers. Evaluate model performance, benchmark results, and document findings clearly. Collaborate with the team to understand requirements and iterate on solutions. Support the AI engineering team with experimentation, applied research and prototyping.Qualification & ExperienceProficiency in Python with the ability to write scripts and handle data processing workflows. Basic familiarity with OpenCV, NumPy, TensorFlow, or PyTorch (at least one). Understanding of fundamental deep learning concepts (training, validation, loss functions, overfitting). Basic knowledge of image data handling and preprocessing. Awareness of modern AI concepts such as LLMs or Generative AI. Candidate of B.Tech / BCA / BSc / MCA / M Tech / Any equivalent degree (pursuing or completed). Prior project or coursework or certification specifically involving computer vision tasks.Familiarity with model fine-tuning or transfer learning approaches. Familiarity with YOLO and Pipelines Awareness of modern AI concepts such as LLMs or Generative AI. Understanding of model evaluation metrics such as precision, recall, and mAP.

ResponsibilitiesYou w’ll convert Software Packages into Dockerfile(s) Maintain and map the life-cycle of a software component/package using Docker Implement and monitor tools like GitLab, GitHub Implement and improve monitoring and alerting. Experience in the tools like Nagios, Zabbix Implement cluster and broker technologies using Docker Implement and manage CI/CD pipelines preferably using Jenkins/Jenkins-X, Argo CD Implement an auto-scaling system for our Kubernetes nodes. Install various open-source components and debug issues related to software package installation in Docker/Kubernetes Environments, ELK, Kafka, Cassandra.Qualification & ExperienceOperations or systems administration experience, particularly on Linux. Passionate about Open Source Technologies and experience in dealing with open source packages. Knowledge on Docker, and/or cloud deployment technologies Strong understanding with container networking on Docker. Knowledge in Linux Internals and Shell/AWK/Sed scripting and Terraform Understanding application deployment by using CI/CD. Knowledge with monitoring tools like Prometheus, Grafana, Datadog, etc. Familiar with OCI, AWS, GCP, Azure and PaaS, IaaS, SaaS B.E or B.Tech in Computer Science or Electronics/Electrical is a MUST.

ResponsibilitiesAssist in developing and maintaining ETL/ELT pipelines for data ingestion and transformation. Monitor data workflows and help troubleshoot pipeline failures, latency issues, and data quality problems. Support the implementation of DataOps best practices, including CI/CD, automation, and version control. Work with cloud platforms such as AWS, Azure, or GCP to manage data infrastructure. Collaborate with cross?functional teams to ensure data availability, reliability, and accuracy. Document processes, workflows, and system configurations. Assist in building dashboards or monitoring tools for pipeline performance. Qualification & ExperienceBasic understanding of SQL and relational databases. Familiarity with at least one programming language: Python, Java, or Scala. Knowledge of data concepts: ETL, data warehousing, APIs, batch vs. streaming. Exposure to cloud services (AWS/Azure/GCP) is a plus. Understanding of Git or other version control tools. Strong analytical and problem?solving abilities.

ResponsibilitiesEnd-to-End Feature Development: Build and maintain high-fidelity web interfaces using React.js/Next.js while developing the robust Golang services that power them. API Design & Integration: Design, implement, and consume RESTful APIs. You’ll be responsible for ensuring the contract between the frontend and backend is seamless and efficient. Database Management: Work with databases to ensure data integrity and optimize queries for high-scale internal operations. Performance Optimization: Enhance application performance across the stack from implementing lazy loading in the browser to optimizing backend execution times and asset delivery. Code Stewardship: Contribute to a clean, modular codebase by participating in peer code reviews and adhering to ES6+ standards and Go best practices. Debug & Iterate: Proactively identify bottlenecks across the stack and squash technical debt under the mentorship of senior engineers. Qualification & ExperienceFrontend Fundamentals: Solid command of the "Holy Trinity" (HTML5, CSS3, and Modern JavaScript). Experience with Tailwind CSS is a major plus. Backend Proficiency: Strong foundational knowledge of Go (Golang). You should understand concurrency, routing, and how to build scalable microservices. Framework Expertise: Hands-on experience with React.js. Familiarity with state management (Redux/Zustand) and Next.js is highly desirable. Outcome-Driven Development: A portfolio or project history that shows a "before and after" impact streamlining a manual workflow or building a usable tool from scratch. The "GreedyGame" Mindset: You are an obsessive learner who stays updated on industry trends and possesses a "ship-fast" mentality. Education: Currently pursuing or recently graduated with a degree in Computer Science, IT, or a related field (Equivalent self-taught excellence is also welcomed).

ResponsibilitiesAssist in designing, developing, and deploying microservices for the Nirmata platform. Write clean, maintainable code in languages like Go or Java, while following best practices. Participate in code reviews, testing, debugging, and performance tuning. Help improve system reliability, observability, and automation using tools like Prometheus, TimeScale, and Kubernetes. Collaborate with cross-functional teams to deliver features and resolve technical issues. Explore opportunities to contribute to open-source projects, internal tools, or engineering blogs. Take ownership of small projects or features and present outcomes to the engineering team. Qualification & ExperienceGood understanding of OOP concepts. Good understanding of data structures and algorithms. Hands-on (basic working experience) with Java and Go. Good communication skills. Ability to present an academic or personal project completed during college. Knowledge of Kubernetes is an added advantage. B.Tech/B.E in Computer Science or equivalent.