Arcitech

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

💼 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 🚀