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Generative AI Engineer

Generative AI Engineer

PROADSW3 Relations pvt. ltd.Bengaluru, Karnataka, India
2 days ago
Job description

šŸš€ Job Title : Generative AI Engineer (LLM | Python | AWS | FastAPI)

šŸ“ Location : Bangalore, India

5+ years of experience

šŸ’¼ Employment Type : Permanent

šŸ’° Budget : Up to ā‚¹30 LPA

šŸ• 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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    Generative Ai Engineer ā€¢ Bengaluru, Karnataka, India