Jobs in the United States

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Added 20 mins ago
Sr. Electrical Engineer
Medtronic
Newton, MA
As a Senior Electrical Engineer, you will serve as a technical leader and expert in designing, developing, and integrating complex electrical systems for Medtronic's innovative cardiac…
Added 20 mins ago
AE
Sr Firmware Engineer
Advanced Energy
Wilmington, MA
- $120,000 to $150,000 USD / year
As a Firmware Engineer, you'll play a key role in developing the intelligent technologies that power innovative electronic products. You'll design, develop, and enhance embedded software,…
Added 21 mins ago
Senior Full Stack Robotics Engineer - Java/C++/TypeScript
Kelly Services
Boston, MA
A growing robotics technology company is seeking a Full Stack Engineer to develop software solutions that power next-generation robotic systems. This role focuses on building scalable…
Added 21 mins ago
Banking Product Forward Deployed Engineer - Products & Platforms
Deloitte
Boston, MA
We are looking for a highly skilled and client-facing Forward Deployed Engineer (FDE) to sit at the intersection of engineering excellence and customer partnership. In this role, you will…
Added 21 mins ago
Lead Product Forward Deployed Engineer (pFDE) - Products & Platforms
Deloitte
Boston, MA
We are looking for a highly skilled and client-facing Forward Deployed Engineer (FDE) to sit at the intersection of engineering excellence and customer partnership. In this role, you will…
Added 21 mins ago
Lead UI Engineer - Products & Platforms
Deloitte
Boston, MA
The BankingSuite team is looking is looking for a Lead UI Engineer with a passion for innovation and the experience to launch a high-quality digital banking product as part of a FinTech…
Added 21 mins ago
Principal Software Engineer
Highmark Health
Boston, MA
We are seeking a visionary Principal Software Engineer responsible for building scalable public-facing software applications across Digital Member Experience channels. As a key player…
Added 21 mins ago
CTO, Anthropic Practice
EPAM Systems
Boston, MA
…conversation to a signed deal and live delivery. The focus is agentic process transformation: redesigning end-to-end business processes around Claude-based agents that do real work, not…
Added 21 mins ago
Systems Engineer - 30471
HII
Pocasset, MA
…and field autonomous maritime vehicles. As our new Systems Engineer you will apply strong systems, integration and test experience and technical knowledge to solve the challenges in…
Added 21 mins ago
EG
Dev Lead
Eliassen Group
Boston, MA
- $110 to $120 USD / hour
Own pull request process with AI-assisted review before human review and enforce coding norms and patterns.
Added 21 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Boston, MA
- $100 to $120 USD / hour
Understanding of RAG/GraphRAG, LLMs, AI agents, and enterprise data integration.
Added 36 mins ago
IC
GPU Software Development Engineer
Intel Corporation
CA
- $111,030 to $211,200 USD / year
As a GPU Software Development Engineer, you will play a critical role in designing and developing software solutions that enable Intel's GPUs, ranging from firmware and device drivers to…
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Lincoln, NE
- $100 to $120 USD / hour
Understanding of RAG/GraphRAG, LLMs, AI agents, and enterprise data integration.
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Lincoln, NE
- $110 to $120 USD / hour
Own pull request process with AI-assisted review before human review and enforce coding norms and patterns.
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Honolulu, HI
- $100 to $120 USD / hour
Understanding of RAG/GraphRAG, LLMs, AI agents, and enterprise data integration.
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Honolulu, HI
- $110 to $120 USD / hour
Own pull request process with AI-assisted review before human review and enforce coding norms and patterns.
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Cheyenne, WY
- $110 to $120 USD / hour
Own pull request process with AI-assisted review before human review and enforce coding norms and patterns.
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Cheyenne, WY
- $100 to $120 USD / hour
Understanding of RAG/GraphRAG, LLMs, AI agents, and enterprise data integration.
Added 1 hour ago
Senior Mechanical Engineer, Development
BAE Systems
Merrimack, NH · Hudson, NH
BAE Systems is seeking a Senior Mechanical Engineer to join our team in Hudson and Merrimack, NH!
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Concord, NH
- $100 to $120 USD / hour
Understanding of RAG/GraphRAG, LLMs, AI agents, and enterprise data integration.
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Concord, NH
- $110 to $120 USD / hour
Own pull request process with AI-assisted review before human review and enforce coding norms and patterns.
Added 2 hours ago
Lead Software Engineer
Chicago, IL · Peoria, IL · Irving, TX
The Lead Software engineer – Ecommerce Search is responsible for setting the technical direction and overseeing the execution of advanced search solutions. This role combines strategic…
Added 2 hours ago
Data Platform Engineer
Domino's
Ann Arbor, MI
…drive, we are looking for a driven Databricks Data Platform Engineer to join our team at World Resource Center (WRC) in Ann Arbor,…
Added 3 hours ago
Senior Software Engineer (.NET/Python)
CVS Health
Remote, United States
As a Senior Software Engineer on the MinuteClinic Product Engineering team, you will design, build, and operate the services that power patient-facing scheduling, kiosk, clinical workflows,…
Added 3 hours ago
Software Engineer (.NET/Python)
CVS Health
Remote, United States
As a Software Engineer on the MinuteClinic Product Engineering team, you will build and maintain the services that support patient scheduling, kiosk, clinical workflows, and provider…

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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