Senior Full Stack Engineer

Job Title: Senior Full Stack Engineer

Location: Chicago, IL

Duration:06 months' contract

Description:

Senior-level contract position | Full stack and cloud-native development.

We are seeking a senior full stack engineer 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 particular ownership of evaluation and quality pipelines that make the application reliable as it evolves.

Key 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.

Required Qualifications

• 8+ years of professional software development experience, including delivery and support of secure, scalable enterprise applications.
• Hands-on experience building agentic applications using large language models, tool calling, structured outputs, prompt and context design, and multi-step workflows.
• 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.
• Practical experience building evaluation and quality pipelines for AI applications, including test datasets, scoring criteria, regression analysis, and human review. Ability to explain how evaluation results informed a release or quality improvement.
• Strong full stack development skills with Angular, .NET Web APIs, and Python, including integration with existing enterprise services.
• Strong SQL, relational data modeling, and data analysis skills, with attention to numerical accuracy, missing data, and traceability of results.
• Experience with cloud-native application development on Azure, CI/CD, automated unit and integration testing, and end-to-end testing.
• Experience with authentication, authorization, secure API design, observability, and reliable asynchronous processing.
• Strong problem-solving and communication skills, with the ability to work independently and collaborate with product, engineering, and domain experts.

Preferred Qualifications

• Experience with retrieval-augmented generation (RAG), including document ingestion, retrieval, grounding, and retrieval quality evaluation.
• Experience with healthcare analytics, enterprise reporting, or other applications that require careful handling of sensitive data and verifiable analytical results.
• Experience taking AI prototypes into production and improving quality, latency, and operating cost using evaluation and production evidence.

Compensation:

The hourly rate for this position is between $58.00-$62.00per hour.

Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].

Benefits:

Sunrise offers ACA compliant medical coverage/dental insurance/vision insurance to all employees. We also offer Sick time benefits as required per State regulations.

Contact:

Jaya Balaji: jayabalaji.s@sunrisesys.com | (732) 515-5373 | URL: www.sunrisesys.com