Genai And Full Stack Ai/ml Professionals Bengaluru

Position: GenAI and Full-Stack AI/ML Experience:4+ Years Location Bangalore Notice Period :Immediate-15 Days Work type: Hybrid (3 days work from office) : Key Responsibilities Design and develop end-to-end web applications (frontend + backend + APIs) Build responsive UI using frameworks like React / Angular / Next.js Develop backend services using Python / Node.js / Java / FastAPI Develop high-performance REST APIs using FastAPI. Ensure: o Security o Scalability o Compliance Implement prompt engineering, prompt versioning, and optimization Develop RAG (Retrieval-Augmented Generation) pipelines Build and deploy AI-driven products and workflows (automation agents, NLP systems) Handle data ingestion, preprocessing, and embeddings pipelines Automate: o Case processing o Narrative generation o Data extraction & validation Ensure accuracy, latency, and cost optimization of AI systems Deploy applications on AWS Containerize applications using Docker and Kubernetes Build CI/CD pipelines and MLOps/LLMOps workflows Ensure high availability, security, and scalability Work with Product, UX, Data Science, and Engineering teams Participate in architecture discussions and design reviews Ensure compliance with AI governance, security, and data privacy standards Document system architecture, APIs, and AI workflows Required Skills Frontend: FastAPI (must-have), Python, REST Framework Backend: Python (FastAPI/Flask), Node.js, Java (Spring Boot) Databases: PostgreSQL, MySQL, MongoDB Robust understanding of o Large Language Models - Gemini / Claude o Prompt Engineering (CoT, Few-shot, Structured prompting) o RAG systems, embeddings, and vector search Experience with frameworks: o LangChain, LlamaIndex, LangGraph, AutoGen, Strands o Model evaluation, hallucination handling, output validation Basic understanding of: o Machine learning & NLP concepts o Data preprocessing and feature engineering Experience with Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow (positive to have) Experience with AWS Services Containerization (Docker) and orchestration (Kubernetes) CI/CD pipelines and deployment automation Robust problem-solving and system design skills Experience & Qualifications Bachelors/Masters in Computer Science or related field 46 years of full-stack development experience 2+ years of hands-on experience in GenAI/LLM-based applications-Mandatory Experience building production-grade AI solutions preferred .