

Gen AI Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid to Senior Level Gen AI Developer based in Reston, Virginia, for 12 months. Requires 8+ years in Software Engineering, 2-3 years in AI/ML, strong Python, SQL, and AWS skills. In-person interview for 2nd round.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 11, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Reston, VA
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π§ - Skills detailed
#ML (Machine Learning) #SageMaker #SQL (Structured Query Language) #Compliance #Data Pipeline #Data Science #Programming #AWS (Amazon Web Services) #AWS SageMaker #Python #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence)
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Compsciprep LLC, is seeking the following. Apply via Dice today!
Mid to Senior Level GenAI developer.
Location: Reston, Virginia (3 Days Hybrid Role)
Duration-12 months
Note- 2nd Round will be in person Interview
Experience:
8+ years overall in Software Engineering disciplines, preferably in the contracts and legal domain.
2-3 years of experience in AI/ML engineering roles
Strong programming skills in Python, SQL and experience with AWS.
Key Responsibilities:
Design, test, and refine prompts for large language models (LLMs) to support financial reporting, summarization, and client communication tools.
Analyze structured and unstructured financial data using Python and SQL, delivering insights through dashboards and reports.
Develop and maintain data pipelines and ETL workflows to support GenAI model training and evaluation.
Use AWS SageMaker to build, train, and deploy machine learning and GenAI models.
Collaborate with data scientists, analysts, and business stakeholders to align AI solutions with financial objectives.
Monitor model performance and iterate on prompt and model design to improve accuracy and relevance.
Document workflows, models, and prompt strategies for internal knowledge sharing and compliance.