Python Fullstack Developer

Job Position Title: Python Full Stack Developer (AI/ML Specialist)

Experience: 4 to 7 Years

Location: Bangalore

Responsibilities:

• Design, develop, and maintain AI/ML-powered applications using Python with primary focus on backend and ML implementation • Build robust APIs using Django, FastAPI, and Node.js for ML model serving and integration • Develop and implement Retrieval-Augmented Generation (RAG) systems and Agentic AI solutions • Design and build AI workflows using LangChain and LangGraph frameworks • Implement predictive and prescriptive analytics solutions for business use cases • Develop responsive frontend interfaces using modern UI frameworks • Deploy and manage ML models on cloud platforms (AWS, Azure, GCP, OpenShift Container Platform) • Optimize ML pipelines and ensure scalability of AI applications • Write comprehensive unit, integration, and end-to-end tests for AI/ML systems

Mandatory skill sets:

• 5+ years of overall software development experience with strong focus on Python development • Expert-level proficiency in Python with advanced concepts (decorators, context managers, metaclasses, async programming) • Hands-on experience with Django and FastAPI for building scalable web applications and APIs • Strong experience with LangChain and LangGraph for building AI agent workflows • Proven experience in implementing RAG (Retrieval-Augmented Generation) systems • Experience building Agentic AI applications and autonomous systems • Strong knowledge of Machine Learning and AI concepts with practical implementation experience • Proficiency in predictive analytics (forecasting, classification, regression) and prescriptive analytics (optimization, simulation) • Experience with Node.js for backend services • Proficiency in frontend UI frameworks (React, Angular, Vue.js, or Streamlit) • Knowledge of HTML5, CSS3, and JavaScript/TypeScript • Hands-on experience with cloud platforms (AWS, Azure, GCP, or OpenShift Container Platform) • Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS)

Preferred skill sets: • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost) • Knowledge of MLOps practices and tools (MLflow, Kubeflow, SageMaker) • Experience with Large Language Models (LLMs) and prompt engineering • Proficiency with LLM orchestration frameworks and agent design patterns • Experience with data processing libraries (Pandas, NumPy, Polars) • Knowledge of containerization technologies (Docker, Kubernetes) • Experience with message brokers (Apache Kafka, RabbitMQ, Redis) • Proficiency with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) • Strong experience with Git version control and branching strategies • Understanding of DevOps practices and CI/CD tools (Jenkins, GitLab CI, GitHub Actions) • Experience with API gateway technologies and microservices architecture • Knowledge of monitoring and observability tools (Prometheus, Grafana, ELK stack) • Experience with A/B testing frameworks for ML models • Familiarity with model interpretability and explainability tools (SHAP, LIME)