Gen AI Engineer

  • Reston, VA
  • Posted 18 hours ago | Updated 18 hours ago

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 6 Month(s)

Skills

Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Collaboration
Communication
Dashboard
Data Analysis
Data Manipulation
Data Visualization
Evaluation
Extract
Transform
Load
Finance
Financial Reporting
Generative Artificial Intelligence (AI)
KPI
Knowledge Sharing
Large Language Models (LLMs)
Legal
Machine Learning (ML)
Microsoft Power BI
Prompt Engineering
Python
Regulatory Compliance
Reporting
SQL
Software Engineering
Sonnet
Tableau
Training
Vector Databases
Workflow

Job Details

Job Role: Gen AI Engineer Location: Reston, VA Duration: 12 Months
Job Description:
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.

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.

Preferred Qualifications:
Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
Exposure to data visualization tools (e.g., Power BI, Tableau).
Understanding of MLOps practices and model lifecycle management.

Education: Bachelor's Degree in Computer Science

EEO: MindLance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

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