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Entrylevel Retrieval Augmented Generation Jobs in Jupiter, FL

NextEra Energy

Data Scientist

Juno Beach, FL · On-site

Implement Retrieval-Augmented Generation (RAG) and semantic search pipelines that integrate large language models with enterprise data sources. * Apply prompt engineering, embedding techniques, and ...

All JobsEntrylevel Retrieval Augmented Generation JobsEntrylevel Retrieval Augmented Generation Jobs in Jupiter, FL

Entrylevel Retrieval Augmented Generation information

See Jupiter, FL salary details

$31.3K

$51K

$74.3K

How much do entrylevel retrieval augmented generation jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entrylevel retrieval augmented generation in Jupiter, FL is $50,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,100.00 and $63,600.00 per year, depending on experience, location, and employer.
What cities near Jupiter, FL are hiring for Entrylevel Retrieval Augmented Generation jobs? Cities near Jupiter, FL with the most Entrylevel Retrieval Augmented Generation job openings:
Entrylevel Retrieval Augmented Generation jobs near you
Infographic showing various Entrylevel Retrieval Augmented Generation job openings in Jupiter, FL as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $50,980 per year, or $24.5 per hour.

AI Forward Deployed Engineer / Generative AI Implementation Engineer

VDart, Inc.

Juno Beach, FL • On-site

Other

Posted 8 days ago

Job description

This is a fully onsite position. Candidates must be located in or near Juno Beach, FL, or be willing to relocate before the start date. Remote and hybrid work arrangements are not available.

Required Skills and Experience
  • 1 2 years of professional experience in IT, software engineering, software development, automation, systems integration, or a related technical field.
  • Must be located in or near Juno Beach, FL, or be willing to relocate before the start date at their own expense.
  • Must be available to work onsite beginning on Day 1. Remote work, hybrid arrangements, and phased remote onboarding are not available.
  • Hands-on experience with, or a strong working knowledge of, AI coding assistants and developer tools such as Devin, Windsurf, Claude Code, GitHub Copilot, or similar technologies.
  • Understanding of Model Context Protocol (MCP) architecture, including experience building, configuring, integrating, or consuming MCP servers and clients.
  • Practical experience with secure tunneling and connectivity technologies, including ngrok, Cloudflare Tunnel, SSH tunneling, SSH port forwarding, or similar tools.
  • Strong proficiency in Python, including scripting, automation, API integration, and development of custom integration solutions.
  • Exposure to LLM adaptation or fine-tuning techniques, including LoRA, PEFT, prompt tuning, dataset preparation, model evaluation, or related approaches.
  • Working knowledge of Git and GitHub, including source control, branching, pull requests, and collaborative development workflows.
  • Foundational understanding of REST APIs, webhooks, authentication methods, and system integrations.
  • Familiarity with cloud environments and services, including AWS, Microsoft Azure, or Google Cloud Platform (Google Cloud Platform).
  • Strong troubleshooting, debugging, analytical, and problem-solving skills.
Preferred Qualifications
  • Experience with containerization technologies such as Docker.
  • Familiarity with CI/CD pipelines and modern software delivery practices.
  • Exposure to vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
  • Experience with prompt engineering, AI agents, agentic workflows, or multi-agent systems.
  • Previous experience working in a client-facing, consulting, implementation, solutions engineering, or technical support role.
  • Experience rapidly developing and deploying prototypes or proof-of-concepts in fast-paced environments.
Key Competencies
  • Strong verbal and written communication skills, with the ability to collaborate effectively with client stakeholders and technical teams.
  • Comfortable working independently and taking ownership in ambiguous, fast-paced, and evolving environments.
  • Strong client-service mindset with the ability to understand technical requirements and translate them into practical solutions.
  • Ability to troubleshoot and resolve live technical issues effectively while working under client timelines and expectations.
  • Highly curious and adaptable, with a strong interest in continuously learning emerging AI technologies and development tools.
  • Demonstrates creativity and fresh thinking by identifying innovative approaches to complex client challenges.
  • Ability to balance speed, technical quality, security, and usability when developing and deploying solutions.

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