GenAI developer.

Location: Reston, Virginia (3 Days Hybrid Role)

Note- 2nd Round will be in person Interview 

Experience:

• 9+ 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.

Required Qualifications:

• 2–3 years of experience in data analysis or machine learning roles.

• Proficiency in Python and SQL for data manipulation and analysis.

• Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda.

• Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques.

• Strong understanding of financial data, KPIs, and reporting standards.

• Excellent communication and collaboration skills.