Senior AI Engineer Generative AI, LLMs & AWS

Company: Jobs via Dice

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-31

About this role

Overview / Summary
We are seeking a highly skilled AI Engineer to design, develop, and deploy enterprise-scale AI solutions that solve complex business problems across the organization. This role focuses on Generative AI, Large Language Models (LLMs), Prompt Engineering, Agentic AI systems, Machine Learning, Data Science, and cloud-native engineering on AWS.


The ideal candidate will have strong hands-on experience building intelligent applications end to end, including data preparation, model development, prompt design and optimization, orchestration of agentic workflows, deployment automation, infrastructure provisioning, monitoring, and production support. This role requires close collaboration with business stakeholders, data teams, architects, platform teams, and engineering partners to advance AI adoption in a secure, scalable, and business-aligned manner.


The successful candidate will act as a problem solver, trusted consultant, and technical leader capable of translating business problems into practical AI solutions. This role is also responsible for ensuring AI solutions are production-ready, observable, cost-efficient, and aligned with enterprise governance, risk, and compliance expectations.


Key Responsibilities

  • Design, develop, and deploy enterprise AI solutions using LLMs, Prompt Engineering, Agentic AI frameworks, Machine Learning, and Data Science techniques.
  • Build intelligent applications including RAG-based systems, AI copilots, conversational assistants, autonomous or semi-autonomous agent workflows, document intelligence solutions, and NLP-driven applications.
  • Design and optimize prompts for enterprise use cases, including prompt templates, chaining strategies, structured outputs, instruction tuning patterns, context control, and response optimization.
  • Develop and maintain data pipelines for structured and unstructured data to support model training, retrieval, inference, analytics, and evaluation workflows.
  • I...

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