GenAI Developer

NiyamIT•Ashburn, VA

1d•Hybrid

About The Position

Niyam is seeking a GenAI Developer to join our team in support of our work with a federal client. In this role, you will design, develop, and deploy scalable software applications that support emerging technologies, including Generative AI, machine learning, big data, and business intelligence initiatives. Working closely with data scientists, engineers, and cross-functional teams, you will help transform complex business challenges into functional software solutions while contributing throughout the Agile development lifecycle. The ideal candidate brings strong full stack development expertise, experience with modern cloud platforms, APIs, and DevSecOps practices, and a passion for leveraging cutting-edge AI technologies to build high-impact applications in a collaborative, mission-focused environment. This full-time position will be hybrid to Ashburn, VA 1 day/week.

Requirements

US Citizenship with ability to obtain a Public Trust.
Bachelor’s degree in a related field.
At least seven (7) 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.
Work hybrid schedule with an on-site requirement in Ashburn, VA.

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
Maintain awareness of the latest developments 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.
Work independently on complex tasks with minimal direction and oversight.