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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI engineeringMLOpsAI deploymentPythonJavalarge language modelsNLPcloud platformscontainerizationInfrastructure-as-Code