Generative AI Engineer

🕒 May 8

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🗣️ LLM Engineer

👻 Ghost score 42%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

NextGen Federal Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

🏛️ Government

🎖️ Defense

🤖 Artificial Intelligence

Government • Defense • Artificial Intelligence

NextGen Federal Systems is an award‑winning IT solutions and services provider that delivers modern software engineering, AI/ML, digital engineering, and complex mission support to U. S. federal, defense, and intelligence customers. The company develops cloud‑native, DevSecOps-driven software and mission platforms — including ReadiChat (agentic AI), StratusML (ML/MLops platform), Weather Analyst/Space Weather Analyst, SADIE™, and the Digital Arsenal — to support predictive analytics, operational AI agents, model‑based systems engineering, simulation, and electronic warfare/communications analyses. NextGen emphasizes cleared technical staff, GovCloud/hardened deployments, and rapid R&D to provide mission-focused engineering, integration, and operational support for aviation, maritime, law enforcement, and defense/intelligence programs.

📋 Description

• Research, design, develop, and deploy innovative AI/ML and Generative AI solutions across mission-focused problem sets • Develop advanced AI capabilities using large language models, retrieval-augmented generation, Model Context Protocol servers, agentic workflows, and cloud-native AI services including AWS Bedrock • Work as part of a technical team to design, develop, implement, and transition AI/ML and Generative AI capabilities meeting client operational requirements • Participate in all phases of the software engineering lifecycle, including research, requirements analysis, solution design, model development, integration, deployment, evaluation, and testing • Collaborate within a distributed development team in a dynamic, agile, fast-paced environment

🎯 Requirements

• Bachelor's [Master's / PhD] Degree in Computer Science, Math, Engineering, or related field • 6+ [4+ / 2+] years of work-related experience with applied machine learning, data science, software engineering, or AI/ML system development • Experience designing, developing, or deploying machine learning, Generative AI, or data-driven software solutions • Experience developing solutions using Python and common AI/ML or data science libraries such as pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, LangChain, LlamaIndex, or similar frameworks • Familiarity with large language models and Generative AI concepts, including prompt engineering, embeddings, vector databases, retrieval-augmented generation, model evaluation, and responsible AI considerations • Experience designing or integrating LLM-based applications • Experience using cloud services to build, deploy, or manage AI/ML solutions • Understanding of machine learning concepts, including data preprocessing, feature engineering, model training, model evaluation, performance metrics, and model deployment best practices • Strong written and verbal communication skills • Proficiency with Microsoft Office tools, including Word, Excel, PowerPoint, and Outlook • Secret Clearance • Experience working in an Agile development lifecycle • Experience developing Generative AI solutions using AWS Bedrock • Familiarity with Model Context Protocol and MCP servers • Experience with retrieval-augmented generation architectures • Experience with agentic AI workflows, tool-calling, function-calling, or orchestration frameworks • Experience evaluating LLM or RAG-based systems • Experience deploying AI/ML solutions using AWS, Docker, Kubernetes, CI/CD pipelines, Terraform, or similar tools • Experience with Git, GitLab, GitHub, or Bitbucket • History of academic publications, conference presentations, technical reports, demos, or client-facing briefings

🏖️ Benefits

• Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities • Incentives that encourage positive and productive behaviors • Fair and respectful corporate culture • Distributed/remote work environment

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume