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Java Developer

Robotics Technologies LLC
Denver, CO, United States
4 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$160,160
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Computer Programming Python (Programming Language) Machine Learning Language Modeling Software Engineering Software Systems Retrieval-Augmented Generation
+4 more
Large Language Models Generative AI Agentic-AI Api Design

Job description

  • Evaluate and leverage existing internal AI tools, agents, and platforms.
  • Build AI-enabled applications, prototypes, and proofs of concept.
  • Develop solutions utilizing LLMs, SLMs, MCPs, and agent-based architectures.
  • Partner with engineering and infrastructure teams to identify high-value AI use cases.
  • Assess opportunities to automate workflows and improve operational efficiency through AI.
  • Research, test, and validate emerging AI technologies and capabilities.
  • Contribute to AI adoption initiatives across multiple teams.
  • Help integrate AI solutions into existing applications and services.
  • Participate in technical discussions, solution design, and implementation activities.

Requirements

  • 2+ years of software development experience.
  • Strong programming experience in Java and/or Python.
  • Experience working with AI, Machine Learning, or Generative AI technologies.
  • Understanding of Large Language Models (LLMs) and AI application development.
  • Experience building APIs, services, or software solutions.
  • Strong problem-solving and analytical skills.
  • Ability to work independently and rapidly learn new technologies., * Experience with Machine Learning model development or implementation.
  • Hands-on experience with RAG architectures.
  • Experience with agentic AI workflows and AI agents.
  • Familiarity with MCP frameworks.
  • Exposure to Small Language Models (SLMs).
  • Cloud platform experience (AWS, Azure, or GCP).
  • Experience building proofs of concept and emerging technology solutions.

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