Arcitech

Role Overview:

As a Manual Tester Intern at Arcitech AI, you will play a crucial role in our advancements in the Software and IT sector. You will be responsible for executing test cases, reporting bugs, and ensuring the quality of our software products. This internship offers a unique opportunity to gain hands-on experience in manual testing and contribute to our dynamic team in Mumbai, Maharashtra, India.

Responsibilities:

• Execute test cases
• Report bugs
• Perform regression testing
• Write test scripts
• Conduct smoke tests
• Document test results
• Analyze test data
• Validate user inputs
• Review test plans
• Perform sanity checks
• Cross-browser testing
• Test mobile applications
• Conduct usability testing

Qualifications:

• Bachelor's degree in Computer Science or related field
• 0 to 1 years of experience in manual testing

Skills:

• Proficiency in test scenarios and test cases
• Strong bug tracking and bug reporting skills
• Knowledge of regression testing and black box testing
• Familiarity with Agile methodology and software development lifecycle
• Ability to conduct white box testing

💼 Position: Software Tester – Automation (On-Site)

📍 Location: Navi Mumbai

🕒 Immediate Joiners Preferred

✨ Why Join Us?

✅ Growth-driven environment with exciting projects

✅ Weekends off + provident fund benefits

✅ Supportive, collaborative & innovation-first culture

🔍 Role Overview

As a Software Tester, you’ll play a key role in ensuring product quality through manual, automation, and performance testing. You’ll collaborate with developers, project managers, and QA peers, while also exploring AI-driven testing approaches to innovate our QA practices.

Key Skills We’re Looking For:

Key Responsibilities

🧾 Requirement Analysis & Test Planning

• Attend client meetings to gather and understand testing needs.

• Translate business and technical requirements into structured test plans and test cases.

🧪 Manual Testing

• Execute functional, UI, smoke, sanity, and exploratory tests.

• Perform validations across development, QA, and production environments.

🤖 Automation Development & Maintenance

• Design and maintain automated test scripts using Selenium and TestNG.

• Integrate scripts into CI pipelines for continuous testing coverage.

🐞 Defect Management

• Log, track, and retest bugs using Zoho BugTracker, Jira, or similar tools.

• Ensure clear status updates, steps to reproduce, and proper defect lifecycle management.

🧠 AI-Driven Testing Exploration

• Research and experiment with AI tools or agents to streamline testing processes.

• Suggest areas for AI testing implementation within test cycles.

🤝 Collaboration & Communication

• Sync daily with developers, project managers, and QA peers during stand-ups.

• Actively report blockers, coverage updates, and test progress.

📊 Test Reporting & Metrics

• Compile dashboards and reports to reflect test progress, automation coverage, defect trends, and potential risks.

Performance Indicators (KPIs)

✅ Strong knowledge of Python

✅ Hands-on with Selenium (Python)

✅ Functional/Manual Testing expertise

✅ Pytest Framework proficiency

✅ API Testing (Postman/Swagger)

✅ CI/CD Pipeline Integration experience

✅ Proficiency in Git Version Control

✅ Familiarity with JMeter/LoadRunner, TestNG, Jira/Zoho BugTracker

Soft Skills That Set You Apart:

🌐 Strong communication & collaboration

🔍 Attention to detail & problem-solving mindset

Designation: Python Developer

Experienced in AI/ML

Location: Turbhe, Navi Mumbai

CTC: 6-12 LPA

Years of Experience: 2-5 years

At Arcitech.ai, we’re redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and beyond. We’re looking for a Python Developer passionate about AI/ML, who’s ready to work on scalable, cloud-native platforms and help build the next generation of intelligent, LLM-driven products.

💼 Your Responsibilities

AI/ML Engineering

• Develop, train, and optimize ML models using PyTorch/TensorFlow/Keras.
• Build end-to-end LLM and RAG (Retrieval-Augmented Generation) pipelines using LangChain.
• Collaborate with data scientists to convert prototypes into production-grade AI applications.
• Integrate NLP, Computer Vision, and Recommendation Systems into scalable products.
• Work with transformer-based architectures (BERT, GPT, LLaMA, etc.) for real-world AI use cases.

Backend & Systems Development

• Design, develop, and maintain robust Python microservices with REST/GraphQL APIs.
• Implement real-time communication with Django Channels/WebSockets.
• Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
• Configure and manage AWS (EC2, S3, RDS, SageMaker, CloudWatch) for AI/ML workloads.

Reliability & Automation

• Develop background task queues with Celery, ensuring smart retries and monitoring.
• Implement CI/CD pipelines for automated model training, testing, and deployment.
• Write automated unit & integration tests (pytest/unittest) with ≥80% coverage.

Collaboration

• Contribute to MLOps best practices and mentor peers in LangChain/AI integration.
• Participate in tech talks, code reviews, and AI learning sessions within the team.

🎓 Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
• 2–5 years of experience in Python development with strong AI/ML exposure.
• Hands-on experience with LangChain for building LLM-powered workflows and RAG systems.
• Deep learning experience with PyTorch or TensorFlow.
• Experience deploying ML models and LLM apps into production systems.
• Familiarity with REST/GraphQL APIs and cloud platforms (AWS/Azure/GCP).
• Skilled in Git workflows, automated testing, and CI/CD practices.

🌟 Nice to Have

• Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
• Knowledge of LLM fine-tuning, prompt engineering, and evaluation frameworks.
• Familiarity with Airflow/Prefect/Dagster for data and model pipelines.
• Background in statistics, optimization, or applied mathematics.
• Contributions to AI/ML or LangChain open-source projects.
• Experience with model monitoring and drift detection in production.

🎁 Why Join Us

• Competitive compensation and benefits 💰
• Work on cutting-edge LLM and AI/ML applications 🤖
• A collaborative, innovation-driven work culture 📚
• Opportunities to grow into AI/ML leadership roles 🚀