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Senior Artificial Intelligence Engineer - LLM / RAG

Senior Artificial Intelligence Engineer - LLM / RAG

Aon Consulting Private LimitedBangalore
30+ days ago
Job description

Job Title : Senior AI Engineer.

Position type : Full Time.

Work Location : Bangalore, Noida, Gurgaon (Hybrid).

Required education and certifications critical for the role : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Required Years Of Experience :

  • 6-9 years experience in relevant field.

General Description Of Role :

We are seeking a senior AI Engineer with a strong background in Data Engineering or Machine Learning to join our team focused on building AI-driven solutions.

The role is ideal for someone to experience both model development and system integration using cloud native AI services.

Knowledge of API development and understanding of UI / UX is an added advantage.

What The Day Will Look Like :

  • Design and implement AI solutions using Azure OpenAI, AWS Bedrock or other cloud native services.
  • Build scalable data pipelines, pre-process large datasets and generate vector embeddings or semantic search.
  • Experiment with LLM, RAG and agent-based orchestration framework.
  • Collaborate with cross functional team including product, data and engineering team to shape AI capabilities.
  • Proactively identify areas of model hallucination or bias and implement mitigation.
  • Develop AI services, contribute UX design discussion or better model-human interaction.
  • Participate in agile ceremonies, code reviews and continuous learning.
  • Key Responsibilities :

  • Implement end to end AI solution : data ingestion, pre-processing, training and deployment.
  • Utilize cloud Ai services (Azure / AWS) for model deployment, fine tuning and orchestration.
  • Build and maintain API services using C#, Python.
  • Design and maintain vector database and embedding pipelines using tools like Pinecone, FAISS etc.
  • Implement model evaluation metrics, dashboards, and monitoring tools to detect drift and hallucinations.
  • Ensure security, scalability, performance in AI solution Required :
  • 6+ years of total experience, including 3-5 years in AI / ML or data Engineering.
  • Strong programming skills in Python, with experience in ML libraries like PyTorch or TensorFlow.
  • Experience in developing and deploying AI solutions using Azure, AWS services.
  • Proficient in model lifecycle management.
  • Familiarity of LLM orchestration, RAG pipelines and multi-agent system.
  • Comfortable in API design, preferably using C# or Python (Flask / fast API).
  • Exposure to agent framework like LangChain, CrewAI etc.
  • Cloud native development experience using AWS Lambda, SageMaker pipeline.
  • Understanding of Responsible AI principals, bias detection, ad mitigation strategies.
  • How This Opportunity Is Different :

  • Work with cutting edge AI Models and API.
  • Opportunity to learn and grow into AI architecture role.
  • Direct impact on AI-powered applicationreal world AI automation and integration.
  • Cross functional learningGenAI, data engineering, and API development.
  • Collaborate directly with leadership involved in shaping AI product visionmaking strategical impact.
  • How We Support Our Colleagues :

    In addition to our comprehensive benefits package, we are proud to be an equal opportunity workforce. At Aon, we believe a diverse workforce is an innovative workforce.

    Our agile, inclusive environment allows colleagues to manage their wellbeing and work / life balance while empowering you to be your authentic self.

    Furthermore, all colleagues enjoy two Global Wellbeing Days each year, encouraging them to take time to focus on themselves. We offer a variety of workstyle options through our Smart Working model, but we also recognize that flexibility goes beyond just the place of work and we are all for it!.

    Our continuous learning culture inspires and equips colleagues to learn, share and grow, helping them achieve their fullest potential.

    As a result, Aon colleagues are more connected, more relevant and more valued.

    (ref : hirist.tech)

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