Senior AI Engineer

iCareManager; Lahore; On-site; PKR 1,674,000 - 2,232,000; Full time

Benefits offered by this job

Professional growth opportunities

Competitive salary

Collaborative work environment

Job summary

A healthcare technology company in Lahore is seeking a Senior AI Software Engineer to lead the development of innovative AI solutions in healthcare. The ideal candidate will have over 4 years of experience in applied AI and ML, proficiency in Python, and experience with modern AI technologies, particularly LLMs. Responsibilities include designing automation tools, integrating AI with healthcare systems, and collaborating across teams to improve efficiency. Competitive salary and growth opportunities offered.

Qualifications

• 4+ years of experience in applied AI, ML, or NLP.
• 2 years leading AI-focused initiatives or teams.
• Proficient in AI technologies including LLMs and prompt engineering.
• Experience in integrating AI with healthcare systems preferred.

Responsibilities

• Lead AI projects for healthcare providers.
• Design AI-powered automation tools.
• Implement LLM orchestration for documentation.
• Collaborate across teams to solve operational challenges.
• Track AI model performance and business impact.

Skills

Applied AI

Machine Learning

Natural Language Processing

Python

Leadership

Education

Bachelor’s degree in Computer Science, Data Science, or AI

Tools

AWS

Azure

GCP

Job description

Are you excited by the potential of AI to transform healthcare? At iCareManager, we’re seeking a Senior AI Software Engineer who can harness LLMs and modern AI tooling to deliver intelligent solutions within our EHR and care management ecosystem. From auto-generating care plans and documentation to upgrading workflows using Devin-style AI agents, this is your chance to build smart tools that directly improve patient outcomes and provider efficiency.

This role is ideal for an experienced engineer who thrives in a fast-paced SaaS environment and wants to lead real-world innovation in the healthcare space.

What Makes This Role Compelling

Lead high-impact AI projects that directly serve long-term care, IDD, and assisted living providers.

Design and deploy AI-powered coding agents, assistants, and automation tools to improve internal development velocity and customer workflows.

Collaborate across Engineering, Product, and Customer Success to solve complex operational and clinical challenges.

Implement agentic AI, LLM orchestration, and prompt engineering to improve data entry, compliance, and intelligent recommendations.

Help iCareManager accelerate the future of healthcare technology with faster iteration cycles, smarter tools, and better outcomes for underserved populations.

Key Responsibilities

Develop and implement an enterprise-wide AI strategy aligned with company goals, especially around documentation automation, predictive analytics, intelligent agents, and system optimization.

Identify and prioritize use cases for AI integration across Engineering, Product, and Implementation (e.g., auto-plan generation, code copilots, chatbot assistants).

Lead the design and deployment of AI solutions using LLMs, RAG pipelines, agentic frameworks (e.g., LangChain, Devin-style agents), and AI coding assistants.

Oversee the evaluation, selection, and implementation of AI tools and platforms (e.g., OpenAI, Claude, Bedrock, SageMaker, LlamaIndex, etc.).

Collaborate with software engineers to rapidly prototype, test, and deploy AI features inside iCM’s modular EHR and care coordination platform.

Develop metrics and dashboards to track AI model performance, business impact, and usage.

Foster a culture of innovation, safe experimentation, and responsible AI adoption.

Build external partnerships with AI vendors, research institutions, and innovation hubs.

Stay ahead of AI trends and healthcare industry developments to keep our solutions competitive.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  

4+ years of experience in applied AI, ML, or NLP with at least 2 years leading AI-focused initiatives or teams.

Hands-on experience with modern AI technologies, including LLMs (e.g., GPT-4, Claude), prompt engineering, and agentic frameworks (LangChain, CrewAI, etc.).

Proficient in Python and cloud-based AI platforms such as AWS, Azure, or GCP.

Strong track record of turning AI/ML concepts into deployed, usable features in SaaS or production systems.

Experience integrating AI with healthcare systems, CRM, ERP, or EHR software preferred.

Excellent communication and leadership skills with the ability to influence across departments.

Preferred Qualifications

Experience building and deploying RAG pipelines or agent-based AI solutions.

Familiarity with DevOps, MLOps, or AI observability frameworks.

Background in healthcare, life sciences, or digital health.

Understanding of HIPAA, data security, and ethical AI practices in healthcare.

Certifications in AI/ML (e.g., Certified AI Engineer, AWS ML Specialty) are a plus.

• A dynamic and collaborative work environment.
• Opportunities for professional growth and skill development.
• Competitive salary and benefits package.
• The chance to play a key role in revolutionising the healthcare technology industry.