Generative AI Engineer

4 weeks ago

Aligarh, India Neurones IT Asia Full time

We are looking to onboard a GenAI/ML engineer who will drive the development of GenAI activities globally and bring expertise to leverage Large Language Models (LLMs) across languages and modalities for clients' AI-driven products.


You will be responsible for


  • Building and integrating generative AI applications for customer interactions by using LLMs and orchestration frameworks.
  • Driving the design, development, and scaling of internal AI agents and customer-facing agentic solutions such as GenAI-powered Contact Centers
  • Designing and deploying custom solutions on AWS Bedrock by using foundation models from leading providers.
  • Fine-tuning and evaluating large language models by using proprietary and external datasets.
  • Building scalable APIs and backend services to support real-time AI inference.
  • Ensuring reliability, privacy, and accuracy of Gen AI responses by applying testing and monitoring tools.
  • Contributing to governance efforts by ensuring generative AI solutions follow responsible AI principles, including transparency, data privacy, and compliance with industry standards.
  • Working with the data science team to apply generative AI to other business areas, including document processing, claims decisioning, and reporting.
  • Supporting the Client's Global GenAI roadmap, bringing expert insights on the technology to adopt


You will require the following qualifications and skills


  • 6+ years of experience in AI and machine learning, out of which 3+ years of experience in machine learning engineering, NLP, Generative AI, and LLM technologies.
  • Experience with LLM Agentic workflows and frameworks (Langchain, LangGraph, LlamaIndex, etc.).
  • Knowledge and experience with transformer architectures, prompt engineering, retrieval-augmented generation (RAG), guardrails, and LLM evaluation methodologies.
  • Hands-on experience of MLOps and LLMOps is desired.
  • Knowledge of design, implementation and management of distributed training pipelines for LLMs to ensure scalability and efficiency are nice to have.
  • Advanced knowledge of Python and some experience in ML frameworks (PyTorch, scikit-learn, etc.) for training, fine-tuning, and deploying generative models is desired.
  • Experience with Cloud technology, preferably AWS.
  • Experience with Voice Conversational AI will be a big plus.
  • Note: This is a remote freelancing opportunity ( 9 am - 6 pm, full office hours, and this role is fully remote).

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