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Python Developer - AWS - ZL

  • Job type Posted on: Jun 17, 2026
  • Experience level Jobs via Dice
  • Employment type Reston, Virginia
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Python Developer - AWS - ZL

Job Type :

Full-time

Job Location :

Reston Virginia United States

Remote :

No

Jobcon Logo Job Description :

Python/GenAI Developer Type: W2 With Benefits - No C2C Location: Hybrid 2-3 days onsite in Reston, VA Technical Skills Python SQL AWS Data Services Experience 8+ years overall in Software Engineering disciplines, preferably in the financial services industry. 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. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jun 17, 2026

Reference Number:

14660_30437F770B976064DB639146905B4195

Employment:

Full-time

Salary:

Not Available

City:

Reston

Job Origin:

APPCAST_CPC

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Python/GenAI Developer Type: W2 With Benefits - No C2C Location: Hybrid 2-3 days onsite in Reston, VA Technical Skills Python SQL AWS Data Services Experience 8+ years overall in Software Engineering disciplines, preferably in the financial services industry. 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. #J-18808-Ljbffr

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