Generative ai engineer

10 hours ago

Bengaluru, India PROADSW3 Relations Pvt. Ltd. Full time

Job Title: Generative AI Engineer (LLM | Python | AWS | Fast API) Location: Bangalore, India5+ years of experienceEmployment Type: PermanentBudget: Up to ₹30 LPANotice Period: Immediate Joiners PreferredAbout the Role We are seeking a highly skilled Generative AI Engineer with a strong foundation in Python, Large Language Models (LLMs), AWS , and Fast API. In this role, you will design, develop, and deploy scalable AI-driven systems and Gen AI solutions that push the boundaries of automation, intelligent APIs, and AI-assisted decision-making.This position offers a unique opportunity to work on cutting-edge Gen AI applications , integrate LLMs into production systems , and collaborate with cross-functional teams to create next-generation AI capabilities.Key Responsibilities Design, fine-tune, and deploy Large Language Models (LLMs) for real-world use cases such as chatbots, text summarization, and knowledge retrieval.Develop end-to-end AI pipelines using Python and Fast API , ensuring performance, scalability, and maintainability.Build and deploy API-driven Gen AI services and integrate them into cloud-native environments (AWS preferred).Leverage AWS services (Lambda, S3, EC2, Sage Maker, API Gateway) for scalable AI model hosting and automation.Collaborate with data scientists and MLOps engineers to improve model training, evaluation, and deployment pipelines.Implement prompt engineering, retrieval-augmented generation (RAG) , and custom embeddings for enterprise-level AI applications.Ensure data security, version control, and model governance throughout the AI lifecycle.Conduct continuous performance optimization of AI systems and stay updated on the latest in Generative AI and LLM research.Must-Have Skills Programming: Expert in Python (OOPs, Async, API integration).Frameworks: Fast API (must-have), Flask (good to have).AI/ML: Hands-on experience with LLMs , Prompt Engineering , Lang Chain , or RAG pipelines.Cloud: Proficiency in AWS (Lambda, Sage Maker, EC2, S3, API Gateway).MLOps: Experience with model deployment, Docker, CI/CD, and API-based inference.Strong knowledge of NLP concepts , embeddings, and fine-tuning pre-trained transformer models (e.g., GPT, LLa MA, Falcon, Mistral).Good to Have Experience with Vector Databases (FAISS, Pinecone, Weaviate, or Chroma).Familiarity with Open AI APIs , Hugging Face Transformers , and Lang Chain Framework.Exposure to frontend AI integrations (Streamlit, Gradio, etc.) for demo or prototyping.Understanding of Data Engineering workflows and API orchestration.

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