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Python/AI Developer - Sagemaker

  • Job type Posted on: Jun 23, 2026
  • Experience level TryApplyNow
  • Employment type Reston, Virginia
  • Remote status Salary: $100,000 per year
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Python/AI Developer - Sagemaker

Job Type :

Full-time

Job Location :

Reston Virginia United States

Remote :

No

Jobcon Logo Job Description :

Jobs via Dice is hiring an entry‑level Python/AI Developer – SageMaker. This full‑time role is based in Reston, VA with onsite requirements of 2–3 days per week. The position is part of Jobs via Dice’s QA hiring program. Full responsibilities, required qualifications, and the apply link are listed below. Salary Context Salary is not disclosed in this posting. Market median for junior‑level QA roles is $75,000–$100,000 (based on 32 comparable listings). Many employers share specifics during the interview process or after an initial screen. Job Description Dice is the leading career destination for tech experts at every stage of their careers. Our client, SES, is seeking the following: • Onsite – 2–3 days per week in Reston, VA • Employment Type: Full‑time, W2 (no C2C) • Technical Skills: Python SQL AWS Data Services Large Language Models (LLM) Machine Learning (ML) SageMaker • Experience: Minimum 8 years overall in software engineering disciplines, preferably in financial services, with 2–3 years in AI/ML engineering. Strong programming skills in Python and SQL, and experience with AWS are required. 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. Benefits: SES hires W2 employees and offers comprehensive benefits including group medical, dental, vision, life, long‑term and short‑term disability insurance, 21 days of accrued paid time off, 401(k), tuition reimbursement, performance bonuses, paid overtime, and more. Contact: Please forward a resume directly to for immediate consideration. Director of Recruiting #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jun 23, 2026

Reference Number:

14660_3180AEFC4CB3E3182CF58D322A155333

Employment:

Full-time

Salary:

Not Available

City:

Reston

Job Origin:

APPCAST_CPC

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Jobs via Dice is hiring an entry‑level Python/AI Developer – SageMaker. This full‑time role is based in Reston, VA with onsite requirements of 2–3 days per week. The position is part of Jobs via Dice’s QA hiring program. Full responsibilities, required qualifications, and the apply link are listed below. Salary Context Salary is not disclosed in this posting. Market median for junior‑level QA roles is $75,000–$100,000 (based on 32 comparable listings). Many employers share specifics during the interview process or after an initial screen. Job Description Dice is the leading career destination for tech experts at every stage of their careers. Our client, SES, is seeking the following: • Onsite – 2–3 days per week in Reston, VA • Employment Type: Full‑time, W2 (no C2C) • Technical Skills: Python SQL AWS Data Services Large Language Models (LLM) Machine Learning (ML) SageMaker • Experience: Minimum 8 years overall in software engineering disciplines, preferably in financial services, with 2–3 years in AI/ML engineering. Strong programming skills in Python and SQL, and experience with AWS are required. 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. Benefits: SES hires W2 employees and offers comprehensive benefits including group medical, dental, vision, life, long‑term and short‑term disability insurance, 21 days of accrued paid time off, 401(k), tuition reimbursement, performance bonuses, paid overtime, and more. Contact: Please forward a resume directly to for immediate consideration. Director of Recruiting #J-18808-Ljbffr

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