Generative AI Engineer

Posted 2 Days Ago
Hiring Remotely in USA
Remote
Senior level
Information Technology • Software • Consulting
NextGen delivers transformative software and IT solutions to defense and intelligence agencies across the country.
The Role
Researches, designs, develops, deploys, integrates, evaluates, and tests AI/ML and Generative AI solutions for mission-focused applications. Builds LLM-based systems using retrieval-augmented generation, agentic workflows, cloud services, and AI/ML frameworks. Participates in the full software engineering lifecycle, collaborates with distributed Agile teams, and communicates technical concepts to technical and non-technical stakeholders.
Summary Generated by Built In

NextGen Federal Systems, LLC. is seeking a Generative AI/Machine Learning Engineer to research, design, develop, and deploy innovative AI/ML and Generative AI solutions across a variety of mission-focused problem sets. The selected candidate will support the development of advanced AI capabilities using technologies such as large language models, retrieval-augmented generation, Model Context Protocol servers, agentic workflows, and cloud-native AI services including AWS Bedrock.

The selected candidate will be part of a distributed development team operating in a dynamic, agile, fast-paced environment and will participate in all phases of the software engineering lifecycle, including research, requirements analysis, solution design, model development, integration, deployment, evaluation, and testing.

Qualifications:

    • 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

Required Skills and Experience:

    · Work as part of a technical team to design, develop, implement, and transition AI/ML and Generative AI capabilities that meet client operational requirements

    · 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, including chat-based interfaces, document question-answering systems, workflow automation, summarization tools, or AI-enabled decision-support systems

    · 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, including the ability to explain technical concepts to both technical and non-technical stakeholders

    · Proficiency with Microsoft Office tools, including Word, Excel, PowerPoint, and Outlook

    *Secret Clearance

Desired Skills and Experience:

    • Experience working in an Agile development lifecycle

    • Experience developing Generative AI solutions using AWS Bedrock, including foundation models, Knowledge Bases, Agents, Guardrails, or related AWS AI/ML services

    • Familiarity with Model Context Protocol and the development or integration of MCP servers, tools, resources, or agent-accessible services

    • Experience with retrieval-augmented generation architectures, including document ingestion, chunking strategies, embedding models, vector databases, metadata filtering, reranking, and response evaluation

    • Experience with agentic AI workflows, tool-calling, function-calling, multi-step reasoning workflows, or orchestration frameworks

    • Experience evaluating LLM or RAG-based systems using qualitative and quantitative methods, such as human evaluation, automated LLM-as-judge approaches, RAGAS-style metrics, hallucination analysis, or task-specific performance measures

    • Experience deploying AI/ML solutions using cloud-native and DevOps technologies such as AWS, Docker, Kubernetes, CI/CD pipelines, Terraform, or similar tools

    • Experience with configuration management and version control technologies such as Git, GitLab, GitHub, or Bitbucket

    • History of academic publications, conference presentations, technical reports, demos, or client-facing briefings

About NextGen:

NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we:

  • Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.
  • Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good.
  • Openly promote and communicate our ideas for change and adaptability.
  • Strive to achieve results as an organization.
  • Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.
  • Value the talents and contributions of our employees as the key factor for our success.
  • Create an environment where people can engage at all levels.
  • Encourage people to take risks and allow them to make mistakes.

 

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

 

RefID: A01

Skills Required

  • Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field
  • 6 or more 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 with Python and AI/ML or data science libraries such as pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, LangChain, or LlamaIndex
  • Familiarity with large language models, prompt engineering, embeddings, vector databases, retrieval-augmented generation, model evaluation, and responsible AI
  • Experience designing or integrating LLM-based applications such as chat interfaces, document question-answering systems, workflow automation, summarization tools, or AI-enabled decision-support systems
  • Experience using cloud services to build, deploy, or manage AI/ML solutions
  • Understanding of data preprocessing, feature engineering, model training, model evaluation, performance metrics, and model deployment best practices
  • Strong written and verbal communication skills
  • Proficiency with Microsoft Word, Excel, PowerPoint, and Outlook
  • Secret clearance
  • Experience working in an Agile development lifecycle
  • Experience developing Generative AI solutions using AWS Bedrock, including foundation models, Knowledge Bases, Agents, or Guardrails
  • Familiarity with Model Context Protocol and MCP servers, tools, resources, or agent-accessible services
  • Experience with retrieval-augmented generation architectures, document ingestion, chunking, embedding models, vector databases, metadata filtering, reranking, and response evaluation
  • Experience with agentic AI workflows, tool-calling, function-calling, multi-step reasoning, or orchestration frameworks
  • Experience evaluating LLM or RAG systems using qualitative and quantitative methods
  • Experience deploying AI/ML solutions with AWS, Docker, Kubernetes, CI/CD pipelines, Terraform, or similar technologies
  • Experience with configuration management and version control technologies such as Git, GitLab, GitHub, or Bitbucket
  • Academic publications, conference presentations, technical reports, demonstrations, or client-facing briefings
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The Company
HQ: Morgantown, WV
257 Employees
Year Founded: 2011

What We Do

NextGen is an award-winning IT solutions and services provider. NextGen is a fast-growing company that employs agile and mature processes in areas of innovation, research and development, program management, systems engineering, and technology commercialization. Current customers include the Department of Defense, Federal Government, and commercial companies. NextGen utilizes a mixed model consisting of Services and Solution Development in support of customer goals. Our core areas of expertise include Software Development, Research and Development, Enterprise IT Systems Engineering, and Cyber Security & Data Management. NextGen obtained ISO 9001 certification and achieved CMMI-DEV and CMMI-SVC Level 3 appraisal. Recent and steady growth led to our recognition by INC 5000 as the 211th (2016), 440th (2017), 1096th (2018), 1703rd (2019), and 2437th (2020) fastest-growing company in the US and 19th fastest growing IT Services Company in the US. NextGen has offices near Aberdeen, MD; Ft. Meade, MD; Dayton, OH; O’Fallon, IL, and Morgantown, WV. We understand the paradigm shift of doing more with less; developing, operating, and supporting complex systems and missions while keeping pace with changing technologies; and providing high-quality working solutions to analysts and warfighters supporting the Federal Government. We aggressively manage internal costs to ensure competitive salaries for top talent while ensuring cost-effective delivery to our customers. As the demand for quality increases, NextGen is well-positioned to tackle the most intricate challenges facing the defense and intelligence communities today.

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