AI Engineer (Agentic Coding Specialist) – Fort Washington, PA (Remote) | Visa + Salary Insights

📍 Location: us

🏷 Type: Not specified

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Job Overview

This role targets a Senior-Level AI Engineer specializing in agentic coding systems, LLM-powered applications, and enterprise-grade automation within a healthcare innovation company. You will build production AI systems that streamline internal workflows across medical, research, and business units. The ideal candidate is highly experienced in shipping real-world AI applications using modern coding agents such as Claude Code and OpenAI Codex. This is not an experimental AI role but a production-focused engineering position requiring strong system design, autonomy, and the ability to translate non-technical workflows into scalable AI solutions.

🌍 Work Eligibility & Location

This is a fully Remote role with strong operational alignment to US healthcare teams. While global applicants may be considered, compliance-heavy workflows and stakeholder collaboration make US-based candidates more practical. No explicit visa sponsorship details are provided, so international applicants should assess eligibility carefully.

💰 Salary Intelligence

The compensation aligns with advanced AI engineering roles focused on production LLM systems and automation. Given the specialization in agentic workflows and healthcare systems, this role sits in a competitive high-skill salary band.

📊 Role Breakdown

This role is centered on building scalable AI automation systems using Python, TypeScript, LLMs, and modern agentic frameworks. Around 50% of your work involves using AI coding agents to rapidly develop production software, reducing traditional development cycles from weeks to hours or days. You will design workflow automation systems that eliminate manual healthcare operations across multiple subsidiaries.

Approximately 25% of your time focuses on building LLM-based applications such as document processing pipelines, intelligent assistants, and structured data extraction tools. These systems must operate securely in regulated environments, requiring awareness of compliance constraints.

Another 15% involves architecture design, where you evaluate system scalability, integrate APIs, and choose frameworks for multi-agent workflows. You will critically assess AI-generated outputs and refine them into production-grade systems.

The remaining 10% is stakeholder communication, translating non-technical workflows into technical requirements and iterating based on real-world feedback. You must also monitor deployed systems and optimize cloud infrastructure (AWS/GCP/Azure) performance and cost efficiency.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly selective engineering role requiring proven experience in production AI systems. Candidates without real-world deployments of LLM-powered applications or agentic workflows will face strong competition from senior AI engineers and platform specialists.

🚀 Career Impact

This role significantly strengthens expertise in enterprise AI systems and agent-based automation. It positions engineers for high-growth career paths in AI infrastructure, healthcare technology, and advanced LLM system design.

📋 Key Responsibilities

You will design and deploy AI-powered automation systems that optimize healthcare workflows across multiple business units. Core responsibilities include building production-grade LLM applications, integrating REST APIs, and developing agentic systems that automate structured and unstructured data processing.

You will use AI coding agents such as Claude Code and Codex to accelerate software development while ensuring reliability and scalability. Additional duties include translating operational workflows into technical systems, collaborating with non-technical stakeholders, and deploying solutions to production environments.

You will also manage cloud infrastructure (AWS, GCP, Azure), optimize inference costs, and ensure compliance with healthcare data regulations. Continuous iteration based on user feedback and monitoring system performance are critical aspects of the role.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.

How to use: Paste into ChatGPT, Claude, or Gemini

🧠 Fit & Positioning Analysis

Evaluate alignment with production AI engineering expectations and agentic system expertise.

📅 Application Signals

This role signals urgent demand for engineers with strong AI automation and LLM deployment experience. Competition is extremely high due to rising adoption of agentic AI systems in enterprise healthcare environments. Candidates with proven production systems will be prioritized over experimental profiles.

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✅ Job Source & Verification

This job post is based on an official M3 USA AI Engineer listing. It reflects verified requirements for a production-focused AI engineering role in healthcare technology. Information is aligned with the latest available job posting and standard enterprise AI hiring expectations in regulated industries.