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Engineer - Generative AI

United Airlines Business Services Pvt. Ltd

Gurugram

3-5 years

Today

$26.5K–42.2K/yr

Full-time

Onsite

Skills Required LLM

RAG

Gen AI

Vector Database

Prompt Engineering

Agentic AI

Python

React

Angular

AWS

Lambda

ECS

EKS

S3

API Gateway

Description United Airlines is seeking a Generative AI Engineer to build and scale AI-native platforms and services. The role combines full-stack engineering, cloud-native architecture, and MLOps for robust, observable AI solutions.

Company: United Airlines Business Services Pvt. Ltd

Role: Engineer - Generative AI

Location: Gurugram, Haryana, India

Experience

- 3–5 years of experience in software engineering
- Strong hands-on development skills and exposure to system design
- Proficiency in Python for backend development
- Experience with frontend frameworks such as React, Angular, or equivalent
- Strong understanding of API design, middleware, and microservices architecture
- Hands-on experience with Generative AI technologies including LLMs, prompt engineering, RAG, and 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 such as OpenTelemetry, Prometheus, Grafana, and CloudWatch
- Understanding of data storage and retrieval systems including relational, NoSQL, and vector databases

Responsibilities

- Design, develop, and deploy AI-native applications and services leveraging Generative AI and LLMs
- Build and maintain end-to-end solutions across backend, 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 for scalability, resilience, and extensibility
- Build and manage cloud-native solutions on AWS using 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 using logging, tracing, and metrics
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions
- Continuously optimize performance, cost, and latency of AI workloads and services

Additional Responsibilities

- Operate across backend, frontend, and middleware layers
- Work with intelligent systems, AI agents, and reusable platforms
- Support architecture awareness while delivering hands-on implementation

Nice To Have

- 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

More Skills API design, middleware, microservices, MLOps, CI/CD, model deployment, versioning, monitoring, observability, telemetry, OpenTelemetry, Prometheus, Grafana, CloudWatch, relational databases, NoSQL, cloud-native applications

Other

- Job type: Full-Time
- Posted date: 08/10/2026
- This position is offered on local terms and conditions




- Expatriate assignments and sponsorship for employment visas will not be awarded
- The position is for a wholly owned subsidiary of United Airlines Inc.
- Part of United's Digital Technology team
- The team builds massively scaling technology solutions using cutting-edge architectures, data analytics, and digital solutions
- Key competencies include strong problem-solving and analytical thinking
- Key competencies include the ability to operate across multiple layers of the technology stack
- Key competencies include a balance of execution excellence and architectural thinking
- Key competencies include effective collaboration and communication skills
- Key competencies include a continuous learning mindset in a rapidly evolving AI ecosystem
- Benefits mentioned include top-tier health and wellness benefits
- Benefits mentioned include building lasting connections with team and customers
- Benefits mentioned include travel across an extensive route network

Prepare for this role Recommended resources to build the skills for this position. Sponsored.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

Python for Everybody Specialization

Coursera

Learn Python from scratch — variables, data structures, web scraping, and databases.

Python 3 Programming Specialization

Coursera

Intermediate Python covering classes, inheritance, APIs, and data processing.

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