Python Developer

Secretaria de Serviços Prefeitura de São Paulo; Reston (VA); On-site; USD 140,000 - 230,000; Full time

Job summary

Systems Engineering Services seeks an AI/Python Developer with a Java Certification for the Washington DC/Reston area. The role requires 10+ years in software engineering, and 2-3 years in AI engineering, with strong Python, SQL, and AWS experience.

You will work with Gen AI, LLMs, and cloud services like SageMaker, S3, Redshift, and Lambda, focusing on financial data analytics, KPIs, and reporting standards. Strong communication and ability to work independently are essential.

Qualifications

• 10+ years in software engineering, preferably in financial services.
• 2-3 years in AI engineering roles with ML experience.
• Proficiency in Python and SQL for data manipulation and analysis.
• Hands-on experience with major AWS services (SageMaker, S3, Redshift, Lambda).
• Experience with LLMs (Anthropic Claude, Sonnet) and prompt engineering.

Skills

Python

Gen AI

SQL

LLM

ML

Sagemaker

Bedrock

AWS Data Services

Education

Bachelor's degree in Computer Science, Data Science, Finance, or related field

Tools

SageMaker

S3

Redshift

Lambda

Job description

Systems Engineering Services is seeking an AI/Python Developer with a Java Certification based out of the Washington DC/Reston area.

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

Experience

Job Description

10+ years overall in Software Engineering disciplines, preferably in the financial services industry

2-3 years of experience in AI engineering roles – ML experience in NTH

Strong programming skills in Python, SQL and experience with AWS.

Priority Order of Skills is AWS, Gen AI, Python, AI Code Generation, SQL

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

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

Jake Lutman Technical Recruiter Systems Engineering Services