Senior AI Application Engineer, Enterprise AI at GE Healthcare

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 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
Expertise 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 or services
Ability to collaborate with insight leaders, business stakeholders, data engineering, ML engineering, analytics, and GenAI development teams
Knowledge of MLOps and GenAIOps for deployment, monitoring, and improvement within CI/CD pipelines
Proficiency in integrations using REST, GraphQL, gRPC; cloud-based AI APIs (Azure, AWS, GCP); and enterprise data sources
Experience with cloud-native AI services (AWS Bedrock, Azure OpenAI) and open-source frameworks (LangChain, LangGraph)
Skills in monitoring application performance, user adoption, and optimizing models/workflows
Ability to own full software development lifecycle (SDLC), including unit, integration, and end-to-end testing

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 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 are the key technical skills required for this position?

The role requires frontend skills in React/Next.js and TypeScript, backend development with FastAPI, Flask, or Node.js, and expertise in integrating machine learning, generative models, LLMs, RAG pipelines, and AI agents.

What does the team structure look like?

You will join a dynamic Enterprise AI team within the Chief Data and Analytics Office and collaborate across a unified, cross-functional delivery organization partnering with experts in data engineering, ML engineering, analytics, and GenAI development.

What is the salary or compensation for this role?

This information is not specified in the job description.

What experience makes a candidate stand out for this position?

Highly skilled candidates with experience in developing GenAI and Agentic AI solutions, owning the full SDLC including testing, and delivering enterprise-grade AI applications for business areas like Finance, Supply Chain, and Manufacturing will stand out.

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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