Staff AI Engineer
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Job Location:
Monthly Salary:
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
We are looking for an AI Engineer with strong software engineering and system design fundamentals to build and deploy productiongrade Generative AI systems in a MedTech this role you will work closely with product clinical service and operations stakeholders to translate realworld workflows into scalable reliable AIpowered applications. You will design build integrate and operate LLMbased systems including RAG Knowledge Graphs Graph RAG and Agentic AI workflows and deploy them on AWS using SageMaker and Bedrock.Job Description
Roles and Responsibilities
- Apply strong software engineering principles to design build test deploy and operate AIpowered systems endtoend.
- Design clean scalable system architectures including APIs services and data pipelines with a focus on reliability observability and security.
- Make sound engineering tradeoffs across latency scalability cost fault tolerance and maintainability.
- Design and implement LLMbased solutions for realworld production use cases.
- Build RetrievalAugmented Generation (RAG) pipelines including:
- Document ingestion and chunking strategies
- Embeddings and vector search
- Retrieval reranking grounding and response synthesis
- Implement Knowledge Graph and Graph RAG approaches to enable reasoning over structured and unstructured enterprise data.
- Build Agentic AI systems capable of planning reasoning and executing multistep workflows.
- Implement agentic workflows using tool/function calling memory context management and guarded execution.
- Design systems where agents orchestrate workflows and LLMs act as the reasoning and decision layer.
- Work embedded with stakeholders to understand workflows validate AI outputs and iterate quickly from prototype to production.
- Integrate AI capabilities into real applications (backend services userfacing tools copilots operational systems).
- Own solutions in production including monitoring debugging and continuous improvement.
- Build and deploy AI services on AWS leveraging:
- AWS SageMaker for model training hosting and pipelines
- AWS Bedrock for foundation models agents and knowledge bases
- Implement CI/CD containerization and MLOps practices for AI systems.
- Ensure secure access governance logging and monitoring aligned with enterprise and healthcare requirements.
Education Qualification
- Bachelors Degree in Computer Science or STEM Majors (Science Technology Engineering and Math) with basic experience.
- Desired Characteristics
- Strong foundation in software engineering and system design.
- Proficiency in Python and experience building backend services and APIs.
- Handson experience with Generative AI / LLMs including RAGbased systems.
- Experience deploying and operating systems on AWS.
- Ability to work effectively in ambiguous customerfacing forwarddeployed environments.
Business Acumen:
Strong problem solving abilities and capable of articulating specific technical topics or assignments.
Experience in building scalable and highly available distributed systems.
Expert in breaking down problems and estimate time for development tasks.
Evangelizes how our technology solves customer problems from a technology and business perspective
Leadership:
Demonstrates clarity of thinking to work through limited information and vague problem definitions.
Influences through others; builds direct and behind the scenes support for ideas.
Proactively identifies and removes project obstacles or barriers on behalf of the team.
Shares knowledge power and credit establishing trust credibility and goodwill.
Personal Attributes:
Able to work under minimal supervision.
Excellent communication skills and the ability to interface with senior leadership with confidence and clarity.
Able to work well with global teams including time-zone flexibility.
Skilled in providing oversight and mentoring team members. Shows ability to effectively delegate work
Inclusion and Diversity
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.
#LI-Hybrid
#LI-MP2
Additional Information
Relocation Assistance Provided: Yes
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients
