GenAI Developer

AmiveroAshburn, VA
Hybrid

About The Position

The Amivero Team Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved. Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people. As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems. Special Requirements Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria include, but not limited to:o check for felony convictionso check for illegal drug useo check for misconduct such as theft or fraud Work hybrid schedule with an on-site requirement in Ashburn, VA The Gist Our GenAI Developer will join this passionate team of industry-leading individuals supporting the best practices in GenAI frameworks for the Department of Homeland Security (DHS).

Requirements

  • BA/BS Degree. Will consider experience in lieu of degree.
  • 7 or more years of full stack software development experience or related role which includes experience with front-end frameworks such as React / Angular, and possess a comprehensive knowledge of both SQL and NoSQL databases
  • Familiarity with fundamental Generative AI concepts, including Large Language Models (LLMs), transformers, and prompt engineering techniques.
  • Exposure to or basic practical experience with relevant GenAI frameworks and libraries
  • Experience working with APIs for commercial or open-source models
  • Ability to analyze technically complex problems and develop and implement new and innovative solutions in a fast-moving and fluid software prototyping development environment.
  • Expertise in multiple software developer languages including, but not limited to: Python, Java, JavaScript, and TypeScript
  • Demonstrated experience with cloud services and platforms (AWS and Google) which includes an understanding of how to deploy, manage, and scale applications
  • Familiarity with cloud architecture
  • Knowledge of virtual networks, load balancers, and content delivery networks (CDNs)
  • Experience working with DevSecOps.
  • Ability to develop and work with APIs including familiarity with RESTful services, knowledge of authentication methods, familiarity with data formats, and skilled in handling API errors.
  • Ability to understand API development and management.
  • Must be a U.S. Citizen with the ability to pass CBP background investigation

Nice To Haves

  • Technical certifications such as AWS Certified Developer and AWS AI Certified Practitioner
  • Experience with DevOps (CI/CD) solutions such as GitLab, etc.
  • Experience with AI/ML solutions or complex solutions for predictive analytics, such as Google Vertex AI and AWS Bedrock
  • Experience working in a geographically dispersed, remote team.
  • Understanding of Data Science principles and best practices.

Responsibilities

  • Design, develop, and implement custom software solutions for a variety of AI/ML-related pilot projects and use cases.
  • Act as a member of one or more prototyping teams supporting teammates and collaborating to deliver working software applications on short timelines.
  • Analyze complex project-related problems and creating innovative solutions involving technology, methodology, tools, and solution components.
  • Actively participate in agile delivery phases and ceremonies including release and sprint planning, artifact creation, sprint testing, demonstrations, and retrospectives
  • Staying current with the latest advancements in AI technologies, tools, and best practices.
  • Design systems that can scale horizontally and handle high availability
  • work with Data Scientist teams to integrate applications with AI/ML, Big Data, or BI solutions
  • Ability to work independently on a complex task with little direction and management oversight
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