Ai engineer

2 weeks ago

bangalore, India PROADSW3 Relations pvt. ltd. Full time

 Job Title: AI Engineer (Hybrid – Bangalore | 5+ Years Experience)Location: Bangalore (Hybrid – 2 Days Office) Experience: 5+ Years Company: [Your Company Name]About the Role:We are seeking an experienced AI Engineer with strong expertise in Python, Machine Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with Large Language Models (LLMs), vector databases, and cloud-native deployments. You’ll design, develop, and deploy AI-powered systems that are scalable, high-performing, and seamlessly integrated across platforms.Key Responsibilities:Design, develop, and deploy scalable AI/ML systems and intelligent services.Build robust APIs and back-end components integrating LLMs, embeddings, and vector databases (FAISS, Pinecone, etc.).Fine-tune and optimize AI/ML models for specific business use cases.Develop reusable, efficient Python code to support AI workflows.Integrate user-facing elements with AI-driven back-end logic.Ensure high performance, reliability, and responsiveness of AI services.Collaborate cross-functionally with data scientists, DevOps, and product teams.Work with Docker and manage deployments on AWS (EC2, S3, Lambda, SageMaker).Implement and maintain CI/CD pipelines for continuous integration and delivery.Monitor and enhance AI systems in production for optimal performance.Mentor junior developers and foster an AI-first engineering culture.Stay updated with the latest AI research, tools, and industry trends.Skills & Qualifications:✅ Proven experience as an AI/ML Engineer or similar role. ✅ Strong command of Python and frameworks like PyTorch, TensorFlow, or Hugging Face Transformers. ✅ Hands-on with GenAI, LLMs, embeddings, and vector databases (FAISS, Pinecone, etc.). ✅ Knowledge of RAG (Retrieval-Augmented Generation) and prompt engineering. ✅ Experience with model fine-tuning, deployment, and inference optimization. ✅ Proficiency in FastAPI or similar modern Python frameworks. ✅ Knowledge of ORMs (SQLAlchemy) and database design (SQL & NoSQL). ✅ Solid experience with Docker and container orchestration. ✅ Strong understanding of AWS cloud services (EC2, S3, Lambda, SageMaker). ✅ Familiarity with authentication, authorization, and API security. ✅ Basic front-end understanding (HTML5, CSS3, JavaScript) – a plus. ✅ Strong grasp of performance optimization, distributed systems, and scalable architectures. ✅ Proficiency with Git, version control, unit testing, and debugging. ✅ Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field. ✅ Excellent problem-solving, communication, and teamwork skills.

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