Senior AI Engineer

Purple Drive Technologies

$120K — $150K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in software engineering or AI development
  • 2+ years in Generative AI, LLM, or Agentic AI
  • Strong hands-on expertise in Python, REST APIs, and React/Node.js
  • Familiarity with AWS AI services such as Bedrock, SageMaker, and Lambda
  • Proficiency in OpenAPI, JSON, and YAML
  • Experience working with RAG pipelines and vector search applications

Responsibilities

  • Build and deploy scalable GenAI and Agentic AI solutions
  • Develop AI agents for automation and decision support
  • Architect and implement RAG pipelines and vector search systems
  • Integrate various enterprise AI tools and platforms effectively
  • Implement governance, observability, and responsible AI practices
  • Collaborate with engineering, data, legal, and business teams
  • Mentor junior team members and lead key projects within the AI platform

Benefits

  • Opportunity to work at the forefront of AI technology
  • Collaborative cross-functional team environment
  • Career development and mentorship opportunities
  • Access to cutting-edge tools and platforms for AI development
  • Engagement in responsible AI governance practices
Full Job Description
We are currently hiring for a Senior AI Engineer role based in West Des Moines. The position involves building and optimizing production-grade GenAI and ML applications using cutting-edge AWS AI services and modern LLM frameworks.

Role: Senior AI Engineer

Location: West Des Moines, IA

Experience Required: 8+ years (with 2+ years in GenAI/LLM/Agentic AI)

Key Skills Required:

  • Strong hands-on expertise in Python, REST APIs, React/Node.js
  • Experience with AWS AI services: Bedrock, SageMaker, Nova, Textract, Translate, Lambda, Step Functions
  • Proficiency with OpenAPI, JSON, YAML
  • Experience in RAG pipelines, vector search, embeddings, LLM evaluation
  • Working knowledge of LangChain, AutoGen, LlamaIndex, LangGraph
  • Strong background in document automation, NLP, and retrieval systems


Role Highlights:

  • Build and deploy scalable GenAI/Agentic AI solutions
  • Develop AI agents for automation and decision support
  • Architect RAG pipelines and vector search systems
  • Integrate enterprise AI tools like GPT-4o, Claude, ChatGPT Enterprise, Glean, Genesys AI, etc.
  • Implement governance, observability, and responsible AI practices
  • Collaborate with cross-functional engineering, data, legal, and business teams
  • Mentor juniors and lead critical workstreams within the AI platform


If this aligns with your experience and career goals, I'd love to connect and discuss the role in more detail.

Please reply with an updated resume and the best time to reach you.

Looking forward to hearing from you.

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