Python Developer

Designation: Python Developer – AI/ML
Location: Turbhe, Navi Mumbai
CTC: 5-12 LPA
Years of Experience: 2-5 years

IMMEDIATE JOINERS REQUIRED

Description :

At Arcitech.ai, were redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and beyond.

Were looking for a Python Developer passionate about AI/ML, whos 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 :
Bachelors or Masters 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