Arcitech

React Developer - Arcitech AI

Arcitech AI, located in Mumbai's bustling Lower Parel, is a trailblazer in software and IT, specializing in software development, AI, mobile apps, and integrative solutions. Committed to excellence and innovation, Arcitech AI offers incredible growth opportunities for team members. Enjoy unique perks like weekends off and a provident fund. Our vibrant culture is friendly and cooperative, fostering a dynamic work environment that inspires creativity and forward-thinking. Join us to shape the future of technology.

Full-time

Mumbai

2-5 Years Experience

₹

400000 - 1200000

Responsibilities:

• Lead the development of modern web applications using React.js and TypeScript.
• Design, build, and maintain reusable and scalable UI components and state management solutions using Redux, Context API, or similar libraries.
• Collaborate with UI/UX designers to translate wireframes and mockups into pixel-perfect web pages while maintaining design consistency.
• Write clean, modular, and optimized code to ensure high performance and maintainability of the application.
• Implement advanced features and improve existing ones to enhance the user experience and application performance.
• Handle complex asynchronous operations and integrate REST APIs efficiently.
• Work with WebRTC and WebSocket communication protocols to build real-time features such as video calling and live data updates.
• Troubleshoot and resolve complex technical issues, including debugging, performance optimization, and cross-browser compatibility.
• Stay current with industry trends, particularly within the React ecosystem and real-time communication technologies.

Skills & Qualifications:

• Strong proficiency in HTML5, CSS3, and JavaScript.
• Hands-on experience with React.js and component-based architecture.
• Extensive experience with TypeScript for building scalable, type-safe applications.
• In-depth knowledge of state management with Redux, Context API, or similar libraries.
• Familiarity with modern CSS frameworks (TailwindCSS, Bootstrap) and CSS pre-processors (SASS, LESS).
• Experience implementing WebRTC and WebSocket communication for real-time features like video conferencing and live data streams.
• Experience integrating and optimizing REST APIs and managing asynchronous operations effectively.
• Proficient with Git for version control and collaboration in a team setting.
• Strong problem-solving abilities with attention to detail.
• Ability to communicate complex ideas clearly and work collaboratively within a cross-functional team.
• Understanding of testing frameworks and debugging tools to ensure application stability and quality.

Software Tester – Automation (On-Site)

📍 Location: Navi Mumbai

Budget - 4lpa to 7lpa

Years of Experience - 2 to 5years

🕒 Immediate Joiners Preferred

✨ Why Join Us?

🚀 Growth-driven environment with modern, automation-first projects

📆 Weekends off + Provident Fund benefits

🤝 Supportive, collaborative & innovation-first culture

🔍 Role Overview

We are looking for an Automation Tester with strong hands-on experience in Python-based UI, API, and WebSocket automation. You will collaborate closely with developers, project managers, and QA peers to ensure product quality, performance, and reliability, while also exploring AI-led testing initiatives.

🧩 Key Responsibilities

🧾 Requirement Analysis & Test Planning

Participate in client interactions to understand testing and automation requirements.

Convert functional/technical specifications into automation-ready test scenarios.

🤖 Automation Testing & Framework Development

Develop and maintain automation scripts using Python, Selenium, and Pytest.

Build scalable automation frameworks for UI, API, and WebSocket testing.

Improve script reusability, modularity, and performance.

🌐 API & WebSocket Testing

Perform REST API validations using Postman/Swagger.

Develop automated API test suites using Python/Pytest.

Execute WebSocket test scenarios (real-time event/message validations, latency, connection stability).

🧪 Manual Testing (As Needed)

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

Validate applications in development, QA, and production environments.

🐞 Defect Management

Log, track, and retest defects using Jira or Zoho Projects.

Ensure high-quality bug reporting with clear steps and severity/priority tagging.

⚡ Performance Testing

Use JMeter to conduct load, stress, and performance tests for APIs/WebSocket-based systems.

Analyze system performance and highlight bottlenecks.

🧠 AI-Driven Testing Exploration

Research and experiment with AI tools to enhance automation coverage and efficiency.

Propose AI-driven improvements for regression, analytics, and test optimization.

🤝 Collaboration & Communication

Participate in daily stand-ups and regular QA syncs.

Communicate blockers, automation progress, and risks clearly.

📊 Test Reporting & Metrics

Create reports on automation execution, defect trends, and performance benchmarks.

🛠 Key Technical Skills

✔ Strong proficiency in Python

✔ UI Automation using Selenium (Python)

✔ Pytest Framework

✔ API Testing – Postman/Swagger

✔ WebSocket Testing

✔ Performance Testing using JMeter

✔ Knowledge of CI/CD tools (such as Jenkins)

✔ Knowledge of Git

✔ SQL knowledge (added advantage)

✔ Functional/Manual Testing expertise

✔ Solid understanding of SDLC/STLC & QA processes

🧰 Tools You Will Work With

Automation: Selenium, Pytest

API & WebSockets: Postman, Swagger, Python libraries

Performance: JMeter

Project/Defect Tracking: Jira, Zoho Projects

CI/CD & Version Control: Jenkins, Git

🌟 Soft Skills

Strong communication & teamwork

Detail-oriented and analytical

Problem-solving mindset

Ownership and accountability

Python Developer - AI/MLYour Responsibilities

• Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras.
• Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.
• Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies.
• Utilize Hugging Face Transformers for model fine-tuning and deployment.
• Integrate embedding models for semantic search and retrieval systems.
• Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases.
• Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization.
• Design and maintain Python microservices using FastAPI with REST/GraphQL APIs.
• Implement real-time communication with FastAPI WebSockets.
• Implement pgvector for embedding storage and similarity search with efficient indexing strategies.
• Integrate vector databases (pgvector, Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
• Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
• Configure AWS infrastructure (EC2, S3, RDS, SageMaker, Lambda, CloudWatch) for AI/ML workloads.
• Version ML experiments using MLflow, Weights & Biases, or Neptune.
• Deploy models using serving frameworks (TorchServe, BentoML, TensorFlow Serving).
• Implement model monitoring, drift detection, and automated retraining pipelines.
• Build CI/CD pipelines for automated testing and deployment with ≥80% test coverage (pytest).
• Follow security best practices for AI systems (prompt injection prevention, data privacy, API key management).
• Participate in code reviews, tech talks, and AI learning sessions.
• Follow Agile/Scrum methodologies and Git best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
• 2–5 years of Python development experience (Python 3.9+) with strong AI/ML background.
• Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems.
• Deep learning experience with PyTorch or TensorFlow.
• Experience with Hugging Face Transformers and model fine-tuning.
• Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering.
• Strong experience with FastAPI frameworks.
• Proficiency in PostgreSQL with pgvector extension for embedding storage and similarity search.
• Experience with vector databases (pgvector, Pinecone, Weaviate, FAISS, or Milvus).
• Experience with model versioning tools (MLflow, Weights & Biases, or Neptune).
• Hands-on with Docker, Kubernetes basics, and AWS cloud services.
• Skilled in Git workflows, automated testing (pytest), and CI/CD practices.
• Understanding of security principles for AI systems.
• Excellent communication and analytical thinking.

Nice to Have

• Experience with multiple vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Knowledge of advanced LLM fine-tuning (LoRA, QLoRA, PEFT) and RLHF.
• Experience with model serving frameworks and distributed training.
• Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster).
• Knowledge of quantization and model compression techniques.
• Experience with infrastructure as code (Terraform, CloudFormation).
• Familiarity with data versioning tools (DVC) and AutoML.
• Experience with Streamlit or Gradio for ML demos.
• Background in statistics, optimization, or applied mathematics.
• Contributions to AI/ML or LangChain/LangGraph open-source projects.

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

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 🚀