AI Engineer (NM+)
aon
|
50 days ago
|
Bangalore
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.
Skills and experience that will lead to success
- 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 delivery
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