Principal, AI Engineer (13+)
fiserv
|
4 days ago
|
Mumbai
- Design and implement generative AI solutions using large language model orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
- Build and optimize multi-agent systems that coordinate intelligent task execution, reasoning, and workflow orchestration across enterprise applications.
- Develop retrieval-augmented generation (RAG) pipelines using embeddings, vector stores such as Weaviate, and data retrieval strategies that improve relevance and response quality.
- Build backend services and application interfaces using Python, FastAPI, Java, Spring Boot, or similar technologies to support scalable AI-driven applications.
- Design and support cloud-native AI solutions across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), including serverless and containerized deployment patterns.
- Collaborate with engineering and platform teams to integrate AI applications with data services, messaging systems, caching layers, and enterprise platforms such as Oracle, PostgreSQL, Apache Ignite, RabbitMQ, or similar technologies.
- Drive engineering best practices for observability, scalability, security, reliability, and operational readiness across AI and machine learning services.
- Provide technical leadership in solution design, architectural reviews, and implementation patterns that advance enterprise AI engineering standards.
- Evaluate and improve performance of AI applications through efficient use of data processing tools such as Apache Spark, Pandas, and related analytics or pipeline technologies.
- Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.
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