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AI MODELER/ENGINEER

EXPERT RECRUITING SOLUTIONS, LLC
Malvern, PA, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
www.careerbuilder.com

Tech stack

LangGraph Framework Artificial Intelligence Amazon Web Services Business Logic Microsoft Azure Computer Programming DevOps Distributed Systems Github Graph Database Machine Learning Recommender Systems
+17 more
OpenAI Software Engineering Large Language Models Generative AI Backend Agentic-AI Data Layers Kubernetes Information Technology CrewAI AutoGen Machine Learning Operations Semantic Kernel Docker AI Co-pilot Databricks Microservices

Requirements

Artificial Intelligence (AI), Amazon Web Services (AWS), Artificial Intelligence (AI), Standards Development, GitHub, Software Engineering, Computer Science, Data Science, Engineering, Computer Programming, * AI/ML Stack: Amazon SageMaker, AWS Bedrock.

  • Design Focus: Vector databases, knowledge graphs, and semantic layers.
  • Databricks: Experience with Databricks and Databricks Genie is highly desirable.
  • Core Mandate: Define the standards for β€œAI-ready” data curation and direct the integration of AI methodologies into existing Service Experience and Financials business logic.

Qualifications:

  • 6-8+ years of experience.
  • Strong background in AI/ML design and implementation.
  • Ability to architect semantic layers and knowledge graphs.
  • Experience with GitHub Actions for managing codebases., * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
  • 8+ years of software engineering experience.
  • 3+ years of hands-on AI/ML engineering experience.
  • Advanced Python programming skills.
  • Strong experience building production-grade AI applications.
  • Experience with Generative AI and Large Language Models.
  • Experience designing Retrieval-Augmented Generation (RAG) architectures.
  • Knowledge of vector databases and embedding models.
  • Experience deploying AI solutions on AWS cloud platforms.
  • Experience with CI/CD pipelines and DevOps practices.
  • Strong understanding of distributed systems and scalable backend architectures.
  • Excellent communication and stakeholder management skills., * Experience with Agentic AI frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel).
  • Experience with AWS Bedrock, Amazon SageMaker, Azure OpenAI, or Vertex AI.
  • Experience implementing Responsible AI frameworks.
  • Financial services, fintech, or investment management domain experience.
  • Experience building recommendation engines, intelligent assistants, or AI copilots.
  • Knowledge of Kubernetes, Docker, and cloud-native microservices.
  • AWS AI/ML certifications or equivalent.

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