Jobs in the United States

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Added 14 mins ago
System Administrator V
Chenega Corp
Albuquerque, NM
The System Administrator V will support applications and information technology systems including architecture, installation, configuration, backup and recovery, documentation, operational…
Added 23 mins ago
.Net Developer - Senior
Intermedia Intelligent Communications
Remote, United States
We are looking for a .NET Developer to join our Email+ team. In this role, you will design, develop, test, and maintain scalable software solutions that power our email hosting, Microsoft…
Added 27 mins ago
Senior Software Developer - Application Development & Support (Remote)
RTX
United States
The Enablement Center of Excellence Analytics Development team is seeking a software developer to support the design, development, enhancement, deployment, and maintenance of enterprise…
Added 40 mins ago
Angular / C# / Python Full Stack Developer
Charles Schwab Inc.
Austin, TX
…supports analytics, reporting, data governance, and lineage. As a senior Full Stack Software Engineer on the Schwab Analytical Data Platform Engineering team, you will design and enhance…
Added 43 mins ago
Project Manager
ViaPlus by VINCI Highways
Plano, TX
Prepare reports for senior management regarding the status of a project.
Added 47 mins ago
ES
Senior Application Developer
EPT SPE LLC
United States
- $123,000 to $153,000 USD / year
The Senior Application Developer designs, builds, and supports moderate to highly complex applications on a serverless, cloud-native architecture using an AI-first, agentic development…
Added 48 mins ago
Senior Software Engineer – BPS Monetization
Bloomberg
NY
Experience building web applications using .NET and its broader ecosystem.
Added 1 hour ago
Customer Identity Platform Engineer
Ford
MI
…closely with other Ford teams (business teams, cyber security, applications teams, other technical teams) and our partners to ensure Azure AD B2C is providing the secure, premium customer…
Added 1 hour ago
Senior Software Engineer Technical Remediation & Enablement
Citibank, N.A.
United States
The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination…
Added 1 hour ago
Senior Applications Developer
Bexar County
United States
Senior Applications DeveloperPay Rate Min to Mid Range
Added 1 hour ago
Lead .NET / WPE Engineer (FTE / Hybrid)
NTT DATA Services
Charlotte, NC
We are currently seeking a Lead .NET / WPE Engineer (FTE / Hybrid) to join our team in Charlotte, North Carolina (US-NC), United States (US).
Added 1 hour ago
Customer Identity Platform Engineer
Ford Global
Remote, United States
…closely with other Ford teams (business teams, cyber security, applications teams, other technical teams) and our partners to ensure Azure AD B2C is providing the secure, premium customer…
Added 1 hour ago
Software Engineer Intern
WEX Health, Inc.
Remote, United States
Ship Full-Stack Features: Develop backend services in .NET and build user interfaces using React.
Added 1 hour ago
Senior Data Platform Product Owner
Charles Schwab
Westlake, TX
…growth. The SPS Digital Product Management team is looking for Senior Data Product Owner with proven agile fundamentals and experience in leading digital initiatives for SPS with a focus on…
Added 2 hours ago
Senior .NET Software Engineer
Charles Schwab
Austin, TX
As a Senior .Net Software Engineering, you will combine hands-on .NET development with technical leadership to deliver secure, scalable, and resilient applications. You will guide solution…
Added 2 hours ago
M
Senior Full Stack Developer (.NET)
ManpowerGroup
Austin, TX
- $65 to $69 USD / hour
Our client is seeking a Senior Full Stack Developer (.NET) to join their team. As a Senior Full Stack Developer (.NET), you will be part of the Retail Onboarding and Activation…
Added 2 hours ago
Senior .NET Core / Azure Developer
ITProFound Inc
Grand Rapids, MI
We are looking for a highly experienced Senior .NET Core / Azure Developer with strong technical and leadership skills to design, develop, and implement enterprise-level applications using…
Added 2 hours ago
Lead Site Reliability Engineer
Little Caesar Enterprises Inc.
Detroit, MI
Experience hosting .NET or .NET Core applications.
Added 2 hours ago
Principal AI Engineer
Hearst
Dallas, TX
…doing most of the implementation. You will also serve as the senior technical authority on AI built into our…
Added 2 hours ago
Manager, Software Engineering (Sales Technology)
Remote, United States
…application ecosystem. This role requires strong expertise in C#/.NET development, data engineering, systems integration, and AI-assisted software development. In this role, you will…
Added 3 hours ago
Senior Information Assurance Analyst / Program Manager
Lucayan Technology Solutions LLC
Remote, United States
Lucayan Technology Solutions LLC is seeking a Senior Information Assurance (IA) Analyst / Program Manager to support the Headquarters, Department of the Army G-1, Directorate of Prevention,…
Added 4 hours ago
Mobile/TAK Developer
Accenture Federal Services
Washington, DC
Develop and maintain Android applications and plugins for the Android Team Awareness Kit (ATAK) and related TAK ecosystem products, under the guidance of senior developers.
Added 4 hours ago
Sr. Full Stack .NET Developer with AI - Onsite, In Person Interview
MSys Inc.
Harrisburg, PA
We are seeking a highly experienced, hands-on Senior FullStack Developer with 10+ years of software development experience to design, develop, integrate, and maintain scalable, secure,…
Added 4 hours ago
Senior Consultant - Network Performance
Urban Science Applications, Inc.
Long Beach, CA
Added 5 hours ago
Senior Software Engineer
Dominion Energy
RICHMOND, VA
Working independently helps lead to the development of applications ensuring that the code follows latest coding practices and industry standards. Work closely and help lead other software…

Hearst

Principal AI Engineer

Dallas, TX, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

The Opportunity

Homecare Homebase (HCHB) is the software platform behind home health and hospice care across the United States, supporting scheduling, clinical documentation, coding, compliance and revenue cycle for agencies serving millions of patient visits each year.

We are seeking a Principal AI Platform Engineer to build our AI software factory. This is a hands-on individual contributor role. You will write code every day, ship the first working version of our agent platform yourself, and then teach engineering teams to build on it. You will have no direct reports at the start. The platform will run agents against our production codebase, with people writing specifications and validating results and agents doing most of the implementation. You will also serve as the senior technical authority on AI built into our products.

Our primary stack is .NET and Azure, with Azure DevOps, Kubernetes, Azure AI Foundry and MCP-based tooling, alongside other languages and frameworks. The agent platform must work across all of them. This is a greenfield effort, so you will set the standards rather than inherit them.

Is This Role for You?

This role is for someone who builds. You’ll set standards, shape how teams use AI and influence the roadmap, but you’ll do it through working code and reference implementations, not decks, review boards or org charts. If your recent work has mostly been leading teams, advising executives or designing solutions that others implement, this probably isn’t the right match. Expect to spend most of your time coding, especially in your first few months.

What You’ll Do

AI Platform Architecture and Development

Design, write and operate the agent platform that runs autonomously against our production codebase, taking work from specification to pull request with human review.
Implement agentic patterns, orchestration and tool integration for real-world engineering workflows.
Make the platform effective across our full technology stack, not only one language or framework.
Define the agent templates and shared framework that every team uses.
Own the AI lifecycle from concept through deployment, operation and iteration on Azure and Azure AI Foundry.
Shape how work is handed to agents and review the results, from concept to specification through pull request.

Developer Experience and Integration

Partner with application teams to integrate AI capabilities into existing products and workflows.
Build the APIs, SDKs, MCP servers and extension points that engineering teams build on.
Establish how MCP servers, tools and agent skills are packaged, versioned, discovered and distributed to teams, such as through an internal registry or catalog with access controls.
Design tool access with per-tenant data scoping, so that an agent acting for one agency can reach only that agency’s data.

Context and Knowledge Engineering

Design the context, skills and retrieval patterns that make AI agents effective in large codebases, including an application-level knowledge map that tells an agent which module a ticket belongs to and what it affects.
Decide when retrieval is the right tool and when curated context is better.
Establish versioning, review and governance for shared AI assets.

Evaluation, Safety and Operational Quality

Build evaluation frameworks that measure AI output quality and detect regressions.
Define guardrails, failure handling and human-in-the-loop controls for regulated environments, including keeping PHI out of agent context, prompts and logs.
Monitor and optimize AI systems for reliability, accuracy and cost efficiency, with token budgets, rate limits, retry caps and step limits.
Establish observability best practices across supervised and autonomous AI usage.

Enablement and Technical Leadership

Mentor engineers across the organization and raise AI engineering capability at scale, by building working examples in their own codebases.
Define engineering standards and shape the AI technical roadmap with the CTO.

Innovation and Applied Research

Evaluate emerging capabilities in LLMs, agentic AI, RAG and MCP, and bring what proves out into production.
Advise on build, buy and partner decisions across the AI toolchain.
Maintain a working view of commercial and open-weight models, and match model tiers to tasks by cost, latency, quality and data-handling terms.

What Success Looks Like

Within your first 90 days, a working agent template and shared framework that engineering teams can adopt, with at least one team using it on real tickets.
Telemetry in place for token spend, agent launch frequency and traceable tool calls.
A baseline for measuring the impact on our development process: time saved, delivery velocity and cost.
One common standard across teams such as clinical, revenue cycle and integration, so that each team owns its knowledge but no team builds its own agents, models or tiers.

What You’ll Bring

Required Qualifications

Bachelor’s or advanced degree in Computer Science, Engineering or a related field, or equivalent practical experience.
10+ years in software engineering, with recent hands-on coding. You write code today, not only review it.
3+ years building and operating production AI systems in which agents call tools or change code. RAG or machine learning products alone do not meet this bar.
Proficiency in Python and modern AI tooling (for example LangChain, LangGraph, MCP, OpenAI and Anthropic SDKs).
Hands-on experience building MCP servers or equivalent tool interfaces, including authentication and per-tenant access control.
Ability to make agents effective across multiple languages and technology stacks, not only one.
Hands-on experience deploying and operating AI workloads in cloud environments (Azure preferred).
Solid grasp of LLMs, generative AI, agentic patterns and context engineering.
Proven RAG experience, and judgment on when retrieval beats curated context.
Experience with AI evaluation and observability, including quality measurement, cost and token management.
Working knowledge of handling regulated data such as PHI in AI systems.
Demonstrated record of mentoring engineers and raising technical capability across teams.
Evidence of your own work: a repository, code sample or demo of agent or MCP work that you personally built.

Preferred Qualifications

Experience integrating AI into C# and .NET applications.
Experience using AI coding tools such as Cursor or Claude Code on large codebases.
Familiarity with vector databases and retrieval tooling (for example pgvector, Pinecone, Azure AI Search).
Exposure to LLMOps and evaluation tooling (for example Azure AI Foundry, MLflow, LangSmith, CI/CD).
Familiarity with agent-to-agent communication standards such as A2A, and judgment on when a multi-agent design is warranted over a single agent with tools.
Experience with large legacy codebases and incremental modernization.
Interest in healthcare, EHR or revenue cycle applications.

Additional Information

Sponsorship: This position does not provide immigration sponsorship. Applicants must have the right to work in the U.S. without immigration sponsorship.

What You Can Expect From Us

We don't just help our clients succeed; we help our employees succeed. Competitive pay, robust benefits and professional development opportunities are a few of the many reasons Homecare Homebase is a great place to build your career.

Meaningful work. Make a difference in the lives of clinicians and home-based care teams - and ultimately the patients they serve.
Leaders who care. Work in a culture where leaders value, support and invest in their people.
Flexibility. We value work-life balance and offer career opportunities designed to support life’s changing demands.
A company that gives back. Each year, Homecare Homebase supports charitable initiatives that align with our mission of empowering exceptional care and helping others in need.

Sound like a good fit? We’d love to hear from you.

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More about this job

Skills

Write specifications
.NET
Microsoft Azure
DevOps
Kubernetes
Leadership
Research
Computer science
Machine learning
Coaching
C#
Mlflow
CI/CD
Communication skills
EHR

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