Arcitech Turbhe Maharashtra India On-site Full-time 1-2 Years experience required 4 - 6L Per Year Posted Today About Company 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 A-806 2nd floor Trade Link Kamala Mills Lower Parel Mumbai Maharashtra 400013 India Key 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 solutions Work with transformer-based architectures BERT GPT LLaMA etc for real-world use cases Backend Systems Development Design and maintain robust Python microservices with REST GraphQL APIs Implement real-time communication with Django Channels WebSockets Containerize AI services using 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 Build 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 AI LLM integration Participate in tech talks code reviews and AI learning sessions within the team Required Qualifications Bachelor s Master s degree in Computer Science AI ML or related field 8 months to 2yrs of experience in Python development with robust AI ML exposure Hands-on experience with LangChain for building LLM-powered workflows and RAG systems Strong deep learning expertise with PyTorch TensorFlow Proven experience deploying ML models and LLM apps into production Familiarity with REST GraphQL APIs and cloud platforms AWS Azure GCP Proficient in Git workflows automated testing and CI CD practices Nice to Have Experience with vector databases Pinecone Weaviate FAISS Milvus Knowledge of LLM fine-tuning prompt engineering and evaluation frameworks Familiarity with Airflow Prefect Dagster for ML pipelines Background in statistics optimization or applied mathematics Contributions to open-source AI ML or LangChain projects Experience with model monitoring and drift detection 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