• Client Login
  • Login
  • Employee Login
DATA SCIENCE TECHNOLOGIES LLC
  • Home
  • About Us
  • Business Value
  • Consulting
  • Solutions
  • Jobs Portal
  • Contact Us


Job Description


Job Overview

  • Job ID:

    J54471

  • Job Title:

    Senior Full Stack .Net Engineer

  • Location:

    Chicago, IL

  • Duration:

    10 Months + Extension

  • Domain Exposure:

    Manufacturing

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

  • Work Authorization:

    US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

View All Jobs
Similar Jobs

  • Senior AI/ML - Dallas, TX
  • Senior Full Stack Engineer - Chicago, IL
  • Senior AI/ML - Dallas, TX
  • Senior Data Engineer - Irving, TX
  • Senior AI/ML Engineer - Atlanta, GA

Job Title: Senior Full Stack .Net Engineer
Location:
Chicago, IL
Duration: 10Months + Extension
Bill Rate: $63/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description: 

We are seeking a Senior Full Stack .Net Engineer (Angular and Python) to turn our Data Insight proof of concept into a production application. The product helps users explore healthcare reporting data, ask follow-up questions, and understand findings supported by source evidence. You will build agentic workflows and the user experience around them, with ownership of evaluation and quality pipelines that make the application reliable as it evolves.

Roles and Responsibilities:

  • Build and operate agentic applications that interpret user intent, manage conversation context, call tools and APIs, and carry out multi-step analysis with appropriate user review.
  • Develop the Angular user experience, .NET APIs, and Python agent services, integrating with existing reporting systems, authentication, and data access controls.
  • Own the evaluation pipeline: curate representative datasets with domain experts, define scoring rubrics and acceptance criteria, and combine automated checks with human review.
  • Evaluate answer correctness, supporting evidence, tool selection and execution, and end-to-end task success, including ambiguous requests, unsupported questions, and failure scenarios.
  • Integrate evaluations and regression tests into CI/CD. Version prompts, evaluation datasets, and configuration; compare changes against baselines and enforce quality gates before release.
  • Monitor production quality, latency, cost, and failures through traces and user feedback. Turn observed failures into reproducible test cases and measurable improvements.
  • Implement reliable execution with timeouts, retries, cancellation, durable state, and recovery, while protecting sensitive data and enforcing authorization at tool and data boundaries.
  • Work with product owners and domain experts to validate analytical findings, preserve source traceability, and communicate uncertainty and application limitations clearly.

Apply Now
Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.


Home | About US | Business Value | Consulting | Solutions | Contact Us

© 2004-2026,  Data Science Technologies LLC, or its affiliates