AI Developer
$30 per hourTemporary
System One
Job Title: Junior AI Developer
Location: Washington, DC (Hybrid – 3 days onsite)
Compensation : $30/hr
Type: 12-month contract (with possibility of extension)
Clearance : Must be eligible to obtain and maintain a Public Trust Overview
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. Responsibilities
#LI- Ref: #856-Baltimore-S1
Location: Washington, DC (Hybrid – 3 days onsite)
Compensation : $30/hr
Type: 12-month contract (with possibility of extension)
Clearance : Must be eligible to obtain and maintain a Public Trust Overview
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. Responsibilities
- 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.
- 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 be a U.S. Citizen or Green Card holder.
- 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.
- 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.
#LI- Ref: #856-Baltimore-S1
Vacancy posted 2 days ago
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