

Gen AI Developer - W2 Only
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Developer in Reston, VA, on a 6+ month W2 contract. Requires 8+ years in software engineering, 2-3 years in AI/ML, proficiency in Python, SQL, and AWS SageMaker, with financial data experience preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 12, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Reston, VA
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π§ - Skills detailed
#Databases #ML (Machine Learning) #Redshift #Microsoft Power BI #Python #Computer Science #Visualization #AWS SageMaker #Programming #SageMaker #SQL (Structured Query Language) #BI (Business Intelligence) #Data Pipeline #S3 (Amazon Simple Storage Service) #Data Analysis #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Data Science #Data Manipulation #Tableau #"ETL (Extract #Transform #Load)" #Lambda (AWS Lambda) #Compliance
Role description
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We have an immediate need for aΒ GenAI DeveloperΒ role inΒ Reston, VA - Hybrid.
Job Level: GenAI developer.
Location: Reston, Virginia β 3 days onsite
Duration: 6+ months contract
Type: W2 only
Experience:
β’ 8+ years overall in Software Engineering disciplines, preferably in the contracts and legal domain.
β’ 2-3 years of experience in AI/ML engineering roles
β’ Strong programming skills in Python, SQL and experience with AWS.
Key Responsibilities:
β’ Design, test, and refine prompts for large language models (LLMs) to support financial reporting, summarization, and client communication tools.
β’ Analyze structured and unstructured financial data using Python and SQL, delivering insights through dashboards and reports.
β’ Develop and maintain data pipelines and ETL workflows to support GenAI model training and evaluation.
β’ Use AWS SageMaker to build, train, and deploy machine learning and GenAI models.
β’ Collaborate with data scientists, analysts, and business stakeholders to align AI solutions with financial objectives.
β’ Monitor model performance and iterate on prompt and model design to improve accuracy and relevance.
β’ Document workflows, models, and prompt strategies for internal knowledge sharing and compliance.
Required Qualifications:
β’ 2β3 years of experience in data analysis or machine learning roles.
β’ Proficiency in Python and SQL for data manipulation and analysis.
β’ Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda.
β’ Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques.
β’ Strong understanding of financial data, KPIs, and reporting standards.
β’ Excellent communication and collaboration skills.
Preferred Qualifications:
β’ Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
β’ Exposure to data visualization tools (e.g., Power BI, Tableau).
β’ Understanding of MLOps practices and model lifecycle management.
Education:Β Bachelor's Degree in Computer Science
If you are available and interested. Please share your updated resume to vicky@meritore.com