Job Description
Job DescriptionDescription:
C. Mack Solutions is seeking a Junior AI Developer to join an agile AI development team supporting a mission-critical program for the Federal Government. Working under the guidance of senior developers and architects, you will help build, test, and integrate AI-enabled applications — including Generative AI and agentic solutions built on Google Gemini — and grow your skills on a team that values mentorship, rapid iteration, and working software.
Responsibilities:
- Develop, test, and maintain software components for AI/ML pilot projects and use cases, including Google Gemini-based applications, AI agents, and tool/MCP integrations, under the direction of senior team members.
- Build and consume RESTful APIs and back-end services (e.g., Python with FastAPI or Flask) that connect applications to commercial or open-source AI models and enterprise data sources.
- Write and refine prompts, and help evaluate model outputs for accuracy, reliability, and consistency.
- Write unit tests and perform API testing (e.g., Postman) to validate request/response behavior, authentication flows, and error handling before release.
- Work with SQL and NoSQL data stores and cloud data services (e.g., Google BigQuery) to query, prepare, and serve data to AI-enabled applications.
- Support deployment of applications to cloud environments (Google Cloud and AWS) and through CI/CD pipelines.
- Use AI-assisted development tools responsibly to accelerate coding, testing, and documentation, in line with program policies.
- Collaborate with developers, testers, and Data Scientist teams on prototyping teams that deliver working software on short timelines.
- Actively participate in agile delivery ceremonies, including sprint planning, daily stand-ups, sprint testing, demonstrations, and retrospectives.
- Author clear technical documentation, including design notes, API documentation, and handoff/transition materials.
- Stay current with advancements in AI technologies, tools, and best practices, and share what you learn with the team.
Requirements:
You must live within the DC, MD, VA area.
U.S. Citizenship is required. Candidate must be able to obtain a CBP Public Trust clearance.
- Bachelor’s degree (B.A./B.S.) in Computer Science, Software Engineering, Data Science, or a related field, conferred by the start date.
- 0–2 years of professional software development experience; relevant internships, co-ops, research, and substantial academic or personal projects will be considered.
- Programming proficiency in Python plus at least one additional language such as Java, JavaScript, or TypeScript.
- Hands-on experience building or consuming RESTful APIs, including familiarity with authentication methods, data formats (JSON/YAML), and API error handling.
- Familiarity with fundamental Generative AI concepts, including Large Language Models (LLMs), prompt engineering, and agentic AI patterns.
- Exposure to building an application that integrates a commercial or open-source AI model API (academic, internship, or project experience acceptable).
- Working knowledge of SQL and exposure to at least one cloud platform (Google Cloud or AWS).
- Experience with Git-based version control, unit testing, and object-oriented programming.
- Exposure to Agile/Scrum development practices.
- Strong communication skills, willingness to learn, and the ability to take direction and work effectively on a collaborative team.
Preferred Skills and Experience:
- Experience with Google Gemini, Google Vertex AI, or AWS Bedrock.
- Experience building AI agents or agentic workflows, or working with the Model Context Protocol (MCP).
- Experience with Python web frameworks such as FastAPI or Flask.
- Experience with Google Cloud data services such as BigQuery, including awareness of query cost and performance.
- Coursework or project experience in machine learning (e.g., classification models, neural networks) or data science.
- Experience with a front-end framework such as React or Angular.
- Experience with NoSQL databases (e.g., MongoDB).
- Exposure to DevOps/DevSecOps and CI/CD tools such as GitLab.
- Entry-level technical certifications such as Google Cloud Digital Leader, AWS Certified Cloud Practitioner, or AWS Certified AI Practitioner.
- Experience working in a geographically dispersed, remote team.