Staff AI Application Engineer, Enterprise AI at GE Healthcare

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, TechnologyIndustries

Requirements

Highly skilled and motivated in AI application engineering
Expertise in frontend development (React/Next.js, TypeScript, or equivalent) with focus on usability, accessibility, and AI explainability
Proficiency in backend development (FastAPI, Flask, or Node.js) for scalable and secure services exposing AI capabilities (LLMs, RAG pipelines, AI agents)
Experience translating data science prototypes and GenAI models (LLMs, diffusion models, transformers) into scalable applications with intuitive UIs and reliable infrastructure
Ability to collaborate with cross-functional teams (data engineering, ML engineering, analytics, GenAI development, insight leaders, business stakeholders, MLOps, GenAIOps)
Knowledge of full software development lifecycle (SDLC), including unit, integration, and end-to-end testing
Skills in designing and implementing integrations using REST, GraphQL, gRPC; working with cloud-based AI APIs (Azure, AWS, GCP) and enterprise data sources
Experience integrating cloud-native AI services (AWS Bedrock, Azure OpenAI) and open-source frameworks (LangChain, LangGraph)
Capability to monitor performance, user adoption, and iterate on models/workflows

Responsibilities

Design and develop AI-powered applications, integrating machine learning and generative models into enterprise-grade software products and internal tools
Own the full software development lifecycle (SDLC), including unit, integration, and end-to-end testing
Develop modern, intuitive frontend interfaces for AI applications (React/Next.js, TypeScript, or equivalent) with strong focus on usability, accessibility, and AI explainability
Implement scalable and secure backend services (FastAPI, Flask, or Node.js) to expose AI capabilities through standardized APIs
Translate data science prototypes and GenAI models into scalable applications or services with intuitive user interfaces and reliable backend infrastructure
Collaborate with insight leaders and business stakeholders on requirements gathering, project documentation, and development planning
Partner with MLOps and GenAIOps teams to deploy, monitor, and continuously improve AI applications within standardized CI/CD pipelines
Design and implement integrations using REST, GraphQL, and gRPC; work with cloud-based AI APIs and enterprise data sources
Integrate cloud-native AI services (AWS Bedrock, Azure OpenAI) and open-source frameworks (LangChain, LangGraph) into enterprise environments
Monitor application performance and user adoption, iterating on models and workflows to enhance usability and business impact
Optimize application performance, infrastructure efficiency, and LLM utilization
Document architectures, APIs, and deployment processes to ensure transparency

Skills

Key technologies and capabilities for this role

GenAIAgentic AIMLAI Application EngineeringData EngineeringML EngineeringAnalytics

Questions & Answers

Common questions about this position

What is the work arrangement or location policy for this role?

This information is not specified in the job description.

What technical skills are required for this Staff AI Application Engineer position?

Required skills include frontend development with React/Next.js and TypeScript, backend implementation with FastAPI, Flask, or Node.js, and expertise in AI/ML including LLMs, RAG pipelines, and AI agents. Candidates must own the full software development lifecycle including testing.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the team structure and culture like at GE HealthCare's Enterprise AI team?

The role is part of a dynamic, cross-functional delivery organization within the Chief Data and Analytics Office, collaborating with experts in data engineering, ML engineering, analytics, and GenAI development to solve complex business challenges.

What makes a strong candidate for this Staff AI Application Engineer role?

A strong candidate is highly skilled and motivated, with expertise in developing GenAI and Agentic AI solutions, full SDLC ownership, frontend and backend technologies, and the ability to collaborate cross-functionally to deliver scalable enterprise-grade AI applications.

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters

1892Year Founded

N/ACompany Stage

Data & Analytics, HealthcareIndustries

10,001+Employees

Risks

Emerging AR technologies increase competition in medical imaging.

Regulatory challenges may delay AI application expansions in healthcare.

Dependence on clinical trial success for new product market positioning.

Differentiation

GE Healthcare invests $1 billion annually in R&D for product innovation.

The company supports over 300,000 patients daily with its healthcare technologies.

GE Healthcare's AIR Recon DL offers 3D motion-insensitive imaging for enhanced MRI quality.

Upsides

Acquisition of Caption Health expands AI-powered ultrasound capabilities.

Successful Phase III trial of [18F]flurpiridaz enhances coronary artery disease detection.

Collaboration with Wayra accelerates digital health innovation in EMEA.

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