Generative AI

2 days ago

Bengaluru Hyderabad Pune, India Shyena Tech Yarns Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Title: Generative AI & Agentic AI Engineer

Experience: 3 7 Years

Location: Pune, Bangalore, Hyderabad, Noida

Job Description

We are seeking a highly skilled Generative AI & Agentic AI Engineer with hands-on experience in LLMs, Conversational AI, and AIaaS solutions. The candidate will architect, develop, and deploy advanced AI solutions leveraging cutting-edge generative models to enhance business and developer productivity.

Key Responsibilities

  • Design and propose solution architectures for Generative AI (LLMs), advanced Conversational AI chatbots, and cloud AIaaS platforms.
  • Develop and implement applications using advanced Generative AI models such as OpenAI GPT, Anthropic Claude, Meta Llama2, and Google Gemini.
  • Train, fine-tune, and deploy large language models for domain-specific tasks using techniques like instruction tuning, RLHF, and parameter-efficient fine-tuning (LoRA, adapters, etc.).
  • Architect solutions incorporating Retrieval-Augmented Generation (RAG), Transformer architectures, LangChain, SQLChain, ensuring optimal model performance and scalability.
  • Hands-on development with RAG systems, LLM fine-tuning, and vector databases.
  • Benchmark and measure performance of various LLMs and AI applications.
  • Drive end-to-end implementation and deployment using Azure and AWS services.
  • Stay updated on emerging trends, AI patterns, and innovations to continuously enhance solution design and deployment processes.

Required Qualifications & Skills

  • Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or equivalent experience.
  • Strong Python programming skills and fundamentals of software design and optimization.
  • In-depth knowledge of ML/DL techniques and algorithms, with hands-on exposure to CNNs, RNNs (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs).
  • Experience with Conversational AI technologies: NLU, NLG, dialogue systems, information retrieval, QA systems, and machine translation.
  • Proven experience training BERT, GPT, and Megatron models for NLP/dialog tasks using PyTorch, including data wrangling and tokenization.
  • Familiarity with MLOps lifecycle, dataset versioning, and database management (SQL, MongoDB).
  • Experience with end-to-end MLOps platforms: Kubeflow, MLFlow, Airflow.
  • Strong collaboration, communication, and influencing skills within dynamic, cross-functional teams.

Preferred Attributes

  • Hands-on experience with cloud-based AI deployments, including Azure/AWS AI services.
  • Ability to translate complex AI models into business-ready solutions.
  • Passion for staying at the forefront of AI research and innovation.

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