Staff AI Engineer

Job not on LinkedIn

October 13

Apply Now
Logo of Intelligent Medical Objects (IMO)

Intelligent Medical Objects (IMO)

Artificial Intelligence • Healthcare Insurance • SaaS

Intelligent Medical Objects (IMO) is a leader in transforming healthcare data by employing AI and rich medical terminology. With over 30 years in the field, IMO specializes in clinical terminology, coding, and mapping. They serve healthcare providers, life sciences, public health, and health information exchanges, among others. Their solutions enhance data quality management, standardize procedures, and unlock insights from clinical data through AI. Trusted by 98% of academic medical centers, IMO's products are pivotal in improving patient care, surgical scheduling, OR efficiency, and precision data management.

201 - 500 employees

Founded 1993

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

☁️ SaaS

💰 Venture Round on 2017-02

📋 Description

• Collaborate with cross-functional teams to transition AI/ML models from prototypes into scalable, production-ready systems. • Lead system design and architecture discussions, bringing expertise in AI engineering, MLOps, and AI deployment best practices. • Write high-quality source code, including detailed documentation and high-level technical designs in collaboration with other engineers. • Develop and maintain AI-driven applications, ensuring high performance, scalability, reliability, and security, optimizing for latency, throughput, and cost. • Integrate large language models (LLMs), generative AI, and NLP solutions into IMO Health’s products, with a focus on unstructured clinical data. • Apply containerization (Docker, Kubernetes) and Infrastructure-as-Code to manage production environments. • Collaborate in an Agile environment with cross-functional teams, aligning technical solutions with product and business goals. • Implement creative solutions to technical challenges, applying out-of-the-box thinking to improve existing products. • Conduct and lead root cause analysis on defects, ensuring fixes are implemented correctly. • Guide Agile teams on best practices across all SDLC activities. • Mentor junior developers. • Champion technical standards and architectural alignment. • Advocate for defining and testing Non-Functional Requirements (Availability, Scalability, Reliability, and Maintainability). • Collaborate with team members while fostering trust, commitment, and accountability. • Drive discovery and minimization of technical debt, proactively addressing implications and consequences of technical decisions.

🎯 Requirements

• 8+ years of professional experience in software engineering, AI/ML engineering, or related roles, building production-grade web applications. • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). • Strong foundation in computer science fundamentals, including data structures, algorithms, design patterns, operating systems, and networking. • Strong coding skills in Python or Java, with experience in software engineering best practices. • Experience in developing AI-powered applications, including LLM integration, prompt engineering, and agentic concepts. • Experience fine-tuning and deploying large language models (LLMs) and generative AI solutions in production. • Solid hands-on experience with cloud platforms (AWS or Azure), containerization, and Infrastructure-as-Code. • Experience with MLOps tools and workflows (e.g., MLflow, SageMaker, Kubeflow). • Experience with CI/CD pipelines, automation, and monitoring. • Working knowledge of NLP concepts (tokenization, embeddings, classification, sequence modeling) — healthcare domain exposure is a plus. • Experience working with Elasticsearch and vector databases for embedding-based search and retrieval. • Ability to translate business needs into optimal technical implementations while balancing technical debt and delivery speed. • Strong problem-solving mindset to handle complex technical challenges and make informed architectural decisions. • Experience in high-performance, scalable system design. • Excellent collaboration skills, working effectively with cross-functional teams including Product, Architecture, and Data Science. • Passion for AI technologies and innovation, particularly in applications for healthcare. • Excellent communication and collaboration skills in cross-functional, distributed teams. • Self-starter with the ability to work independently and contribute from day one.

🏖️ Benefits

• IMO Health offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page.

Apply Now

Similar Jobs

October 9

Principal AI Engineer defining and delivering AI systems that power TreviPay’s solutions. Leading innovation in B2B payments with modern AI technologies and architecture.

AWS

September 27

3E

501 - 1000

Build production-grade LLM and agent-based AI systems, APIs, and MLOps at 3E, leveraging proprietary safety and sustainability data to deliver customer-facing solutions.

AWS

Azure

Cloud

Google Cloud Platform

September 26

Senior Software Engineer building GenAI platform at Netflix. Design and deploy APIs, SDKs, and integrations for LLMs and ML models.

Distributed Systems

GraphQL

GRPC

Java

Python

September 20

Lead development and deployment of Gen AI and agentic systems for AmeriSave mortgage lending. Architect RAG, multimodal, and LLMOps solutions across cloud platforms.

Azure

Cloud

Google Cloud Platform

Python

TypeScript

September 11

Staff AI Engineer building production LLM systems and agent platforms for Apollo.io, the go-to-market sales platform.

Apollo

AWS

Azure

Cloud

Google Cloud Platform

Python

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com