AI/ML Engineer / Forward Deployed Engineer – Healthcare

Trulogik; Catonsville (MD); On-site; USD 110,000 - 170,000; Full time

Job summary

Trulogik in Catonsville is seeking an experienced AI/ML Engineer / Forward Deployed Engineer who thrives at the intersection of Engineering, AI, Healthcare, and Customer Success. You will own technical delivery for major healthcare payer customers, from problem definition through production deployment.

You will collaborate with customer business, clinical, data, and technology teams, build and integrate AI/ML solutions, rapidly prototype, and push successful approaches into production.

Qualifications

• 3+ years of experience in software engineering, data engineering, ML engineering, or a related technical field.
• Strong hands-on experience with Python and modern AI/ML technologies.
• Experience building and deploying production-grade systems, not just prototypes.
• Ability to work across application, data, and model layers.
• Understanding of healthcare payer workflows such as claims adjudication, payment integrity, utilization management, pharmacy, or prior authorization is a plus.
• Experience with LLMs, ML systems, APIs, data pipelines, and enterprise integrations is highly valuable.

Responsibilities

• Own technical delivery for major healthcare payer customers, from problem definition through production deployment.
• Work directly with customer business, clinical, data, and technology teams.
• Build and integrate AI/ML solutions, LLMs, APIs, rules, and data pipelines.
• Rapidly prototype solutions and take successful approaches into production.
• Diagnose challenges across applications, models, data, infrastructure, and integrations.
• Evaluate AI outputs for accuracy, reliability, explainability, and operational usefulness.
• Develop a deep understanding of healthcare payer workflows and contribute to the product roadmap.
• Take end-to-end ownership of complex technical problems.

Skills

3+ years experience

Python

AI/ML tech

LLMs

Production systems

APIs

Data pipelines

Enterprise integrations

Communication

Problem solving

Job description

Catonsville, United States | Posted on 11/15/2026

We're looking for an experienced AI/ML Engineer / Forward Deployed Engineer who enjoys solving real-world problems at the intersection of Engineering, AI, Healthcare, and Customer Success .

? What You'll Do

• Own technical delivery for major healthcare payer customers, from problem definition through production deployment.
• Work directly with customer business, clinical, data, and technology teams.
• Build and integrate AI/ML solutions, LLMs, APIs, rules, and data pipelines .
• Rapidly prototype solutions and take successful approaches into production.
• Diagnose challenges across applications, models, data, infrastructure, and integrations.
• Evaluate AI outputs for accuracy, reliability, explainability, and operational usefulness .
• Develop a deep understanding of healthcare payer workflows and contribute to the product roadmap.
• Take end-to-end ownership of complex technical problems.

Requirements

? What We're Looking For

• 3+ years of experience in Software Engineering, Data Engineering, ML Engineering, or a related technical field.
• Strong hands-on experience with Python and modern AI/ML technologies .
• Experience building and deploying production-grade systems , not just prototypes.
• Ability to work across application, data, and model layers.
• Understanding of healthcare payer workflows such as claims adjudication, payment integrity, utilization management, pharmacy, or prior authorization is a plus.
• Experience with LLMs, ML systems, APIs, data pipelines, and enterprise integrations is highly valuable.
• Ability to translate ambiguous business problems into practical technical solutions.
• Strong communication skills and comfort working directly with enterprise customers.
• Ability to quickly learn unfamiliar systems and troubleshoot complex technical problems.
• Strong focus on production-quality solutions and measurable customer outcomes .

Healthcare payer data, claims, HIPAA-regulated environments, LLMs, or enterprise healthcare integrations experience will be a strong advantage.