Engineer - Generative AI

United Airlines; India; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

United Airlines is seeking a Generative AI Engineer in India to design and scale AI-native platforms across backend, frontend, and middleware layers. You will work with Python, React/Angular, and AWS services to deliver end-to-end AI-driven capabilities and robust observability.

The role requires hands-on delivery and architectural awareness to build scalable AI solutions, pipelines, and agent frameworks while optimizing costs and latency across cloud-native deployments.

Qualifications

• 3–5 years of software engineering with hands-on development and design experience.
• Proficiency in Python backend development.
• Experience with frontend frameworks (React/Angular).
• Strong API design, middleware, and microservices understanding.
• Hands-on experience with Generative AI, LLMs, and RAG workflows.
• Experience with AWS cloud-native apps (Lambda, ECS/EKS).
• Familiarity with MLOps and model lifecycle tooling.
• Knowledge of observability tools like OpenTelemetry, Prometheus, Grafana, CloudWatch.

Responsibilities

• Design, develop, and deploy AI-native applications and services leveraging Generative AI and LLMs.
• Build scalable end-to-end solutions across backend, middleware, and frontend layers.
• Develop APIs and microservices to enable AI-driven capabilities across platforms.
• Implement LLM workflows, prompt orchestration, RAG pipelines, and agent frameworks.
• Contribute to architecture design for scalable, resilient AI systems.
• Build cloud-native solutions on AWS (Lambda, ECS/EKS, S3, API Gateway).
• Establish MLOps pipelines, model deployment, versioning, and monitoring.
• Implement observability and telemetry to ensure reliability and performance.

Skills

Python

Frontend development

API design

MLOps

AWS

LLMs

Observability

Data storage concepts

Tools

React

Angular

S3

Lambda

ECS/EKS

OpenTelemetry

Prometheus

Grafana

CloudWatch

Job description

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what’s next. Let’s define tomorrow, together.

Description

United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.

Job overview and responsibilities

We are seeking a Generative AI Engineer to build and scale AI-native platforms and services. This role requires a strong full-stack engineering foundation combined with hands‑on experience in Generative AI, cloud-native architectures, and MLOps. You will contribute to the design and development of intelligent systems, AI agents, and reusable platforms, working across backend, frontend, and middleware layers. The ideal candidate brings both hands‑on delivery capability and architectural awareness to build robust, scalable, and observable AI solutions.

• Design, develop, and deploy AI-native applications and services leveraging Generative AI and LLMs.
• Build and maintain end-to-end solutions across backend (Python), middleware, and frontend layers.
• Develop scalable APIs and microservices to enable AI-driven capabilities across platforms.
• Implement and operationalize LLM-based workflows, including prompt orchestration, RAG pipelines, and agent frameworks.
• Contribute to architecture design and system decomposition, ensuring scalability, resilience, and extensibility.
• Build and manage cloud-native solutions on AWS, leveraging services such as Lambda, ECS/EKS, S3, and API Gateway.
• Establish and maintain MLOps practices, including CI/CD pipelines, model deployment, versioning, and monitoring.
• Implement observability and telemetry frameworks (logging, tracing, metrics) to ensure reliability and performance of AI systems.
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
• Continuously optimize performance, cost, and latency of AI workloads and services.

This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.

Qualifications

What’s needed to succeed (Minimum Qualifications):

• 3–5 years of experience in software engineering with strong hands‑on development skills and exposure to system design.
• Proficiency in Python for backend development.
• Experience with frontend frameworks (e.g., React, Angular, or equivalent).
• Strong understanding of API design, middleware, and microservices architecture.
• Hands‑on experience with Generative AI technologies (LLMs, prompt engineering, RAG, vector databases).
• Experience working with AWS cloud infrastructure and building cloud-native applications.
• Familiarity with MLOps practices and tools for model lifecycle management.
• Working knowledge of observability and telemetry (e.g., OpenTelemetry, Prometheus, Grafana, CloudWatch).
• Understanding of data storage and retrieval systems (relational, NoSQL, and vector databases).

What will help you propel from the pack (Preferred Qualifications):

• Experience building AI agents or autonomous systems.
• Exposure to platform engineering concepts such as control plane and application plane architectures.
• Familiarity with lightweight SDKs and developer enablement tools.
• Knowledge of AI evaluation, governance, and responsible AI practices.
• Experience optimizing LLM performance, scalability, and cost efficiency.

Key Competencies

• Strong problem-solving and analytical thinking.
• Ability to operate across multiple layers of the technology stack.
• Balance of execution excellence and architectural thinking.
• Effective collaboration and communication skills.
• Continuous learning mindset in a rapidly evolving AI ecosystem.