Arcitech
https://webarcitech.comAbout
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Jobs at Arcitech
C#Job description:
BIM Developer (EXPERIENCE IN REVIT API'S AND C#)
IMMEDIATE JOINERS PREFERRED
Budget - 4lpa to 7lpa
Experience - 2 to 5 years
Location - Turbhe, Navi Mumbai (On site)
About the Role :
We are seeking skilled BIM Developers to join our dynamic team in Navi Mumbai. The ideal candidate will be responsible for creating, customizing, and automating workflows and tools that enhance efficiency within Building Information Modeling (BIM) environments. You will work closely with architects, engineers, and project teams to develop solutions that optimize BIM processes and integrate automation using programming and scripting.
Key Responsibilities :
- Develop, customize, and automate tools and workflows for BIM software, primarily Autodesk Revit.
- Write efficient scripts and add-ins using C#, Python, and Dynamo to enhance BIM productivity.
- Collaborate with BIM coordinators and project teams to understand workflow challenges and propose technical solutions.
- Maintain and support existing BIM tools and ensure version compatibility.
- Integrate BIM data with external applications or databases as required.
- Document technical processes, tool usage, and code for easy reference and future maintenance.
- Stay updated with emerging trends, tools, and standards in BIM technology.
Required Skills & Qualifications :
Bachelors degree in Architecture, Civil Engineering, Mechanical Engineering, or Computer Science (or equivalent).
2 to 5 years of experience in BIM development or automation using Revit.
Strong proficiency in Revit API, Dynamo, Python, and C#.
Experience in developing custom plugins, scripts, or add-ins for Autodesk products.
Solid understanding of BIM standards, workflows, and data management.
Strong analytical, problem-solving, and communication skills.
Preferred Qualifications :
Experience with Revit families, Navisworks, or other BIM coordination tools.
Familiarity with cloud-based BIM collaboration platforms (e.g., BIM 360, ACC).
Knowledge of database integration (SQL, JSON, XML) for BIM data exchange.
JenkinsSenior DevSecOps Engineer (Cybersecurity & VAPT) - 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
Navi Mumbai, Maharashtra, India
5+ Years Experience
₹
1200000 - 1400000
Job Title: Senior DevSecOps Engineer (Cybersecurity & VAPT)
Location: Vashi, Navi Mumbai (On-site)
Shift: 10:00 AM - 7:00 PM
Experience: 5+ years
Salary : INR 12,00,000 - 14,00,000
Job Summary
Hiring a Senior DevSecOps Engineer with strong cloud, CI/CD, automation skills and hands-on experience in Cybersecurity & VAPT to manage deployments, secure infrastructure, and support DevSecOps initiatives.
Key Responsibilities
Cloud & Infrastructure
- Manage deployments on AWS/Azure
- Maintain Linux servers & cloud environments
- Ensure uptime, performance, and scalability
CI/CD & Automation
- Build and optimize pipelines (Jenkins, GitHub Actions, GitLab CI/CD)
- Automate tasks using Bash/Python
- Implement IaC (Terraform/CloudFormation)
Containerization
- Build and run Docker containers
- Work with basic Kubernetes concepts
Cybersecurity & VAPT
- Perform Vulnerability Assessment & Penetration Testing
- Identify, track, and mitigate security vulnerabilities
- Implement hardening and support DevSecOps practices
- Assist with firewall/security policy management
Monitoring & Troubleshooting
- Use ELK, Prometheus, Grafana, CloudWatch
- Resolve cloud, deployment, and infra issues
Cross-Team Collaboration
- Work with Dev, QA, and Security for secure releases
- Maintain documentation and best practices
Required Skills
- AWS/Azure, Linux, Docker
- CI/CD tools: Jenkins, GitHub Actions, GitLab
- Terraform / IaC
- VAPT experience + understanding of OWASP, cloud security
- Bash/Python scripting
- Monitoring tools (ELK, Prometheus, Grafana)
- Strong troubleshooting & communication
Python
PostmanSoftware 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
Amazon Web Services (AWS)Job Title: Senior DevOps Engineer (Cybersecurity & VAPT)
Location: Vashi (On-site)
Shift: 10:00 AM – 7:00 PM
Experience: 5+ years
Job Summary
Hiring a Senior DevOps Engineer with strong cloud, CI/CD, automation skills and hands-on experience in Cybersecurity & VAPT to manage deployments, secure infrastructure, and support DevSecOps initiatives.
Key Responsibilities
Cloud & Infrastructure
Manage deployments on AWS/Azure
Maintain Linux servers & cloud environments
Ensure uptime, performance, and scalability
CI/CD & Automation
Build and optimize pipelines (Jenkins, GitHub Actions, GitLab CI/CD)
Automate tasks using Bash/Python
Implement IaC (Terraform/CloudFormation)
Containerization
Build and run Docker containers
Work with basic Kubernetes concepts
Cybersecurity & VAPT
Perform Vulnerability Assessment & Penetration Testing
Identify, track, and mitigate security vulnerabilities
Implement hardening and support DevSecOps practices
Assist with firewall/security policy management
Monitoring & Troubleshooting
Use ELK, Prometheus, Grafana, CloudWatch
Resolve cloud, deployment, and infra issues
Cross-Team Collaboration
Work with Dev, QA, and Security for secure releases
Maintain documentation and best practices
Required Skills
AWS/Azure, Linux, Docker
CI/CD tools: Jenkins, GitHub Actions, GitLab
Terraform / IaC
VAPT experience + understanding of OWASP, cloud security
Bash/Python scripting
Monitoring tools (ELK, Prometheus, Grafana)
Strong troubleshooting & communication
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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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
Machine Learning (ML)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 🚀
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