AI/ML Engineer

Siri InfoSolutions Inc; Malvern (Chester County); On-site; USD 140,000 - 200,000; Full time

Job summary

Siri InfoSolutions Inc. is seeking an experienced AI/ML engineer to design, develop, and deploy scalable AI/ML and Generative AI solutions on AWS, leveraging Bedrock, SageMaker, Lambda and related cloud-native services.

You will build Agentic AI applications using LangChain and LangGraph, including multi-agent workflows, tool integration, orchestration, and memory management, enabling autonomous decision‑making.

Responsibilities

• Design, develop, and deploy scalable AI/ML and Generative AI solutions on AWS, leveraging services such as Amazon Bedrock, SageMaker, Lambda, and related cloud-native technologies.
• Build and optimize Agentic AI applications using LangChain and LangGraph, including multi-agent workflows, tool integration, orchestration, memory management, and autonomous decision‑making capabilities.
• Develop and implement LLM-powered solutions with strong expertise in Claude, and other leading foundation models, including prompt engineering, fine-tuning strategies, and model evaluation.
• Collaborate with cross‑functional teams to define AI strategy, establish best practices for agent development, ensure solution scalability, security, and performance, and drive innovation across AI initiatives.

Job description

Job description -

• Design, develop, and deploy scalable AI/ML and Generative AI solutions on AWS, leveraging services such as Amazon Bedrock, SageMaker, Lambda, and related cloud-native technologies.


• Build and optimize Agentic AI applications using LangChain and LangGraph, including multi-agent workflows, tool integration, orchestration, memory management, and autonomous decision‑making capabilities.


• Develop and implement LLM-powered solutions with strong expertise in Claude, and other leading foundation models, including prompt engineering, fine‑tuning strategies, and model evaluation.


• Collaborate with cross‑functional teams to define AI strategy, establish best practices for agent development, ensure solution scalability, security, and performance, and drive innovation across AI initiatives.