GenAI Developer

About Niyam

Niyam was founded in 2007 by a group of consultants who shared a unique vision: a technology company steeped in orderly process yet driven by passion and innovation. Over the following decade, we fine-tuned our craft and built an impressive track record of successful outcomes, securing our reputation as the go-to provider of smart, innovative solutions. Today, Niyam is at the forefront of the industry, leading the way in crafting mission-critical technologies for Emergency Preparedness & Response, Natural Resource Management, Law Enforcement & Justice, Health IT, and Global Citizen Services.

Roles and 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 create 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.

Qualifications and Education 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.
• Expertise in multiple software developer languages including, but not limited to: Python, Java, JavaScript, and TypeScript.
• Knowledge of 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 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.
• Experience working in a geographically dispersed, remote team.
• Understanding of Data Science principles and best practices.