Generative AI Engineer

5 days ago

Bengaluru Karnataka India, Karnataka PROADSW3 Relations pvt. ltd. Full time
Job Title: Generative AI Engineer (LLM | Python | AWS | FastAPI)

Location: Bangalore, India

5+ years of experience

Employment Type: Permanent

Budget: Up to ₹30 LPA

Notice Period: Immediate Joiners Preferred

About the Role

We are seeking a highly skilled Generative AI Engineer with a strong foundation in Python, Large Language Models (LLMs), AWS, and FastAPI. In this role, you will design, develop, and deploy scalable AI-driven systems and GenAI 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 GenAI 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 FastAPI, ensuring performance, scalability, and maintainability.
  • Build and deploy API-driven GenAI services and integrate them into cloud-native environments (AWS preferred).
  • Leverage AWS services (Lambda, S3, EC2, SageMaker, 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: FastAPI (must-have), Flask (good to have).
  • AI/ML: Hands-on experience with LLMs, Prompt Engineering, LangChain, or RAG pipelines.
  • Cloud: Proficiency in AWS (Lambda, SageMaker, 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, LLaMA, Falcon, Mistral).
Good to Have
  • Experience with Vector Databases (FAISS, Pinecone, Weaviate, or Chroma).
  • Familiarity with OpenAI APIs, Hugging Face Transformers, and LangChain 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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