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Generative AI Engineer

12 hours, 44 minutes ago
Anywhere
Full-time
Senior
AI Engineer
Software Development
Agile AWS Bitbucket CI/CD Docker Generative AI Git GitHub GitLab Kubernetes LLM Machine Learning NumPy Pandas Python PyTorch Scikit-learn TensorFlow Terraform
Apply Now
NextGen Federal Systems

NextGen Federal Systems

NextGen Federal Systems is a minority-owned small business that delivers transformative software and IT solutions to the defense and intelligence communities. They provide award-winning IT solutions and services, utilizing a mixed model of mission serv...

Internet Software & Services
201-500
Founded 2011
View All Jobs 4

Description

  • Research, design, develop, deploy, and transition AI/ML and Generative AI capabilities that meet client operational requirements.
  • Participate in the full software engineering lifecycle, including requirements analysis, solution design, model development, integration, deployment, evaluation, and testing.
  • Develop LLM-based applications such as chat interfaces, document question-answering systems, workflow automation, summarization tools, and decision-support systems.
  • Build solutions using large language models, retrieval-augmented generation, Model Context Protocol servers, agentic workflows, and AWS Bedrock.
  • Collaborate with a distributed technical team in an agile, fast-paced development environment.
  • Evaluate AI/ML and LLM-based systems for quality, performance, and responsible use.

Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Engineering, or a related field.
  • 2+ to 6+ years of relevant experience in applied machine learning, data science, software engineering, or AI/ML system development, depending on degree level.
  • Experience designing, developing, or deploying machine learning, Generative AI, or data-driven software solutions.
  • Experience with Python and AI/ML or data science libraries such as pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, LangChain, or LlamaIndex.
  • Knowledge of LLM and Generative AI concepts, including prompt engineering, embeddings, vector databases, RAG, model evaluation, and responsible AI.
  • Experience building or integrating LLM-based applications.
  • Experience using cloud services to build, deploy, or manage AI/ML solutions.
  • Understanding of data preprocessing, feature engineering, model training, evaluation metrics, and deployment best practices.
  • Strong written and verbal communication skills for technical and non-technical stakeholders.
  • Active Secret clearance.
  • Experience with Agile development, AWS Bedrock, MCP servers, RAG architectures, agentic workflows, LLM/RAG evaluation, cloud-native DevOps tools, and Git-based version control is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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