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# AI Developer

- **Company:** Mountain LTD
- **Location:** Washington, DC, United States
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, JIRA, Automation of Tests, Microsoft Azure, Cloud Computing, Configuration Management, Information Systems, Information Engineering, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Metadata, NoSQL, Software Engineering, SQL Databases, Unstructured Data, Google Cloud, Data Ingestion, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Model Validation, Generative AI, Git, Integration Tests, Kubernetes, Information Technology, Data Lineage, Machine Learning Operations, Data Pipelines, Docker, Servicenow, Databricks, Vulnerability Analysis
- **Published:** November 14, 2026
- **Apply:** https://www.dice.com/job-detail/2bd998c2-1c85-46e4-8302-a32daf541126

## About the Role

* Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field, or equivalent experience.
 * 1+ year of hands-on Python development experience.
 * Experience building data pipelines, ETL/ELT processes, or data processing workflows.
 * Experience with SQL and relational or NoSQL databases.
 * Hands-on exposure to Generative AI technologies, including LLM APIs, embeddings, vector databases, or RAG solutions through professional work, internships, or significant personal projects.
 * Familiarity with AWS, Azure, or Google Cloud.
 * Experience with Git and CI/CD tools.
 * Experience providing technical support, troubleshooting issues, and working directly with end users.
 * Must reside within the Washington, DC metropolitan area and be able to work onsite three days per week.
 * Must be eligible to obtain and maintain a Public Trust clearance.

Preferred

 * 3+ years of software engineering, data engineering, or AI development experience.
 * Experience supporting federal government programs.
 * Experience with vector databases and RAG frameworks.
 * Experience with document processing technologies, OCR, and PDF extraction tools.
 * Experience with Docker, Kubernetes, and MLOps tools.
 * Familiarity with ServiceNow, Jira Service Management, or ITIL practices.
 * Generative AI or Machine Learning certifications such as Microsoft Azure AI Engineer Associate, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, Databricks, or NVIDIA certifications.
 * Active Public Trust clearance or prior federal background investigation.

## Description

We are seeking a Junior AI Developer to support the development and deployment of AI-powered solutions for a federal government program. This role is ideal for an early-career engineer with experience in Python development, data pipelines, cloud technologies, and Generative AI. The successful candidate will help build data ingestion and processing pipelines, support Retrieval-Augmented Generation (RAG) solutions, develop AI integrations, and provide technical support to end users in a dynamic and collaborative environment., * Develop and maintain ETL/ELT data pipelines that prepare structured and unstructured data for AI applications.

 * Support the development and maintenance of knowledge bases for Retrieval-Augmented Generation (RAG), including document chunking, embeddings, vector databases, and content refresh processes.
 * Develop Python-based services, APIs, and integrations with Large Language Models (LLMs).
 * Build and maintain CI/CD pipelines with automated testing, security scanning, and deployment workflows.
 * Curate, validate, and maintain datasets, metadata, and data lineage documentation.
 * Implement data quality controls, PII masking, and data governance standards.
 * Create and execute unit and integration tests and support model evaluation activities.
 * Monitor data pipelines, ingestion jobs, and AI system performance, troubleshooting issues as needed.
 * Provide technical support and helpdesk assistance for AI application users.
 * Create and maintain technical documentation, user guides, and operational procedures.
 * Support configuration management and maintain code repositories with full traceability.