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Generative AI Engineer

Generative AI Engineer

Summit Consulting ServicesBengaluru, Karnataka, India
4 days ago
Job description

Job Overview

We are looking for a highly skilled and experienced GenAI Engineer / LLM Specialist to join our team. The ideal candidate will have deep expertise in Generative AI , Large Language Models (LLMs) , and full-stack AI solution development. You will be responsible for designing, developing, deploying, and maintaining GenAI-powered applications at scale.

Key Responsibilities

  • Design and deploy end-to-end GenAI solutions in production environments
  • Build, fine-tune, and optimize LLMs (e.g., GPT, Claude, LLaMA, PaLM) for specific use cases
  • Develop and implement Retrieval-Augmented Generation (RAG) architectures
  • Apply advanced prompt engineering techniques to improve model performance
  • Integrate vector databases for semantic search and memory augmentation
  • Build scalable APIs using FastAPI , Flask , or GraphQL
  • Collaborate with frontend developers to enable full-stack AI experiences
  • Ensure reliability and scalability using MLOps tools and CI / CD pipelines
  • Work with structured and unstructured data using SQL , NoSQL , Spark , and Pandas
  • Implement real-time data processing using Kafka or Kinesis
  • Ensure AI models adhere to ethical and responsible AI practices

Required Qualifications

  • 8–10 years of overall software engineering experience
  • 3–5 years of hands-on experience with GenAI / LLM technologies
  • 2–3 years of experience deploying and maintaining GenAI applications in production
  • Minimum 2–3 successful production deployments of GenAI solutions
  • Strong expertise in LLMs (GPT, Claude, Llama, PaLM, etc.)
  • Experience with RAG , fine-tuning , and vector databases
  • Strong Python programming skills and knowledge of AI / ML libraries
  • Proficiency in deep learning frameworks like PyTorch or TensorFlow
  • Experience with FastAPI , Flask , REST / GraphQL APIs
  • Familiarity with JavaScript / TypeScript for building AI-integrated interfaces
  • Proficiency in MLOps tools (e.g., MLflow , Weights & Biases , Kubeflow )
  • Experience with CI / CD pipelines for ML applications
  • Working knowledge of both SQL and NoSQL databases
  • Experience with Apache Spark , Pandas , and data processing workflows
  • Knowledge of Kafka , Kinesis , or other streaming technologies
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    Generative Ai Engineer • Bengaluru, Karnataka, India