Engineer - Generative AI

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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.

u2022Design, develop, and deploy AI-native applications and services leveraging Generative AI and LLMs
u2022Build and maintain end-to-end solutions across backend (Python), middleware, and frontend layers
u2022Develop scalable APIs and microservices to enable AI-driven capabilities across platforms
u2022Implement and operationalize LLM-based workflows, including prompt orchestration, RAG pipelines, and agent frameworks
u2022Contribute to architecture design and system decomposition, ensuring scalability, resilience, and extensibility
u2022Build and manage cloud-native solutions on AWS, leveraging services such as Lambda, ECS/EKS, S3, and API Gateway
u2022Establish and maintain MLOps practices, including CI/CD pipelines, model deployment, versioning, and monitoring
u2022Implement observability and telemetry frameworks (logging, tracing, metrics) to ensure reliability and performance of AI systems
u2022Collaborate with cross-functional teams to translate business requirements into scalable technical solutions
u2022Continuously 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

Whatu2019s needed to succeed (Minimum Qualifications):

u20223u20135 years of experience in software engineering with strong hands-on development skills and exposure to system design
u2022Proficiency in Python for backend development
u2022Experience with frontend frameworks (e.g., React, Angular, or equivalent)
u2022Strong understanding of API design, middleware, and microservices architecture
u2022Hands-on experience with Generative AI technologies (LLMs, prompt engineering, RAG, vector databases)
u2022Experience working with AWS cloud infrastructure and building cloud-native applications
u2022Familiarity with MLOps practices and tools for model lifecycle management
u2022Working knowledge of observability and telemetry (e.g., OpenTelemetry, Prometheus, Grafana, CloudWatch)
u2022Understanding of data storage and retrieval systems (relational, NoSQL, and vector databases)

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

u2022Experience building AI agents or autonomous systems
u2022Exposure to platform engineering concepts such as control plane and application plane architectures
u2022Familiarity with lightweight SDKs and developer enablement tools
u2022Knowledge of AI evaluation, governance, and responsible AI practices
u2022Experience optimizing LLM performance, scalability, and cost efficiency

Key Competencies

u2022Strong problem-solving and analytical thinking
u2022Ability to operate across multiple layers of the technology stack
u2022Balance of execution excellence and architectural thinking
u2022Effective collaboration and communication skills
u2022Continuous learning mindset in a rapidly evolving AI ecosystem