C2C Role: Sr. .Net Full Stack Engineer (Angular) Location: Chicago, IL – Hybrid – 3 days

Role: Sr. .Net Full Stack Engineer (Angular)

Location: Chicago, IL – Hybrid – 3 days WFO (Tues, Wed and Thurs) – Local

Duration: Contract

Years of Experience: 12+ Years
Need only H1B
LinkedIn & Passport Number

Must have: AI, Agentic Application, Healthcare , Strong Angular

Who are we: –

At CitiusTech, we constantly strive to solve the industry’s greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world’s leading Healthcare and life sciences organizations and our partners.

Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives.

Our vision: –

To inspire new possibilities for the health ecosystem with technology and human ingenuity.

What is in it for you?

We are seeking a Senior Full Stack .Net Engineer (Angular expertise) 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.

Educational Qualifications: –

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: –

Mandatory skills

· 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.

· 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 modelling, 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. Proven experience architecting and delivering systems using agentic IDEs Ability to:

· Define architectural intent that agents can follow • Break features into agent executable tasks

· Govern AI autonomy (guardrails, permissions, reviews) • Integrate agentic workflows into CI/CD pipelines Experience supervising AI agents across: • Multi service systems • Legacy modernization

· Large codebases / monorepos Strong understanding of: • Security implications of autonomous code execution • Compliance, auditability, and traceability • AI assisted SDLC operating models

Core Responsibility:

· Guide effective use of agentic IDEs for complex, multi-module or cross-service changes

· Establish review practices and quality checks for AI-generated code

· Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development

· Design system architectures that support AI-augmented and agentic development workflows

· Define guardrails, standards, and governance for the use of autonomous coding agents

· Evaluate impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt.

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