GenAI Developer at C Mack Solutions LLC

, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Sep, 26

Salary

0.0

Posted On

23 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Large Language Models, Python, Java, JavaScript, TypeScript, React, Angular, SQL, NoSQL, AWS, Google Cloud Platform, DevSecOps, RESTful APIs, Prompt Engineering, Agile Methodology

Industry

IT Services and IT Consulting

Description

Description C. Mack Solutions is seeking a GenAI Developer with agile methodology experience to join our team and support a complex program to provide Agile development and operations and maintenance for critical systems on a mission-critical program for the Federal Government. 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. Requirements You must live within the DC, MD, VA area. U.S. Citizenship is required. Candidate must have an Active CBP Public Trust. College degree (B.A., B.S) 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. Preferred Skills and Experience: 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 and implement custom software solutions for AI/ML pilot projects within an agile prototyping environment. Collaborate with data scientists to integrate applications with Big Data and BI solutions while ensuring system scalability.