Python Gen AI Developer - ZL
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-07-17
Listing for:
TryApplyNow
Full Time
position Listed on 2026-07-17
Job specializations:
-
Software Development
Python, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Role Overview SES is hiring a entry-level Python Gen AI Developer - ZL. This is a full-time role in Washington. Part of SES's Qa hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting.
Market median for Junior-level Qa roles is $90k-$136k (based on 51 comparable listings). Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring
PythonSQLAWSTableau
Power BIORKPIs Compliance Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description###
Job Description Top 5 Technical
Skills:
* Python* Gen AI
* SQL* AWS Data Services
* LLM* ML
* Sagemaker* Bedrock Top 3
Soft Skills:
* Confidence in Communication skills for Teamwork and sharing
* Stand alone to get work done, Independent
* Flexibility Company / Project Description / Business Driver Enter Overview of client, project description and the business drivers###
Job Description ### Experience
10+ years overall in Software Engineering disciplines, preferably in the financial services industry2-3 years of experience in AI engineering roles - ML experience in NTHStrong programming skills in Python, SQL and experience with AWS.Priority Order of Skills is AWS, Gen AI, Python, AI Code Generation, SQL
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 Sage Maker 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 Sage Maker, 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 Experience in the finance or fintech industry.
Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).Exposure to data visualization tools (e.g., Power BI, Tableau).Bachelor s degree in Computer Science, Data Science, Finance, or a related field.## About SES
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