Manesar Gurugram Haryana Full stack data engineer Jobs – 152 Open Jobs Today

Engineer - Generative AI
United Airlines —Gurugram, Haryana
- Full-time
- System design
- Master's degree
- Databases
- Health insurance
Expert Senior Manager, Software Engineering
Bain & Co. —Gurugram, Haryana
- Full-time
- System design
- Master's degree
- Travel
Quick apply
15h
Software Engineer LoanIQ
National Westminster Bank PLC —Gurugram, Haryana
- From ₹28,475 a year
- Full-time
- DevOps
- Java
- AWS
6h
Software Engineer, .NET Core & React, VP
National Westminster Bank PLC —Gurugram, Haryana
- ₹56,720 - ₹85,080 a year
- Full-time
- Java
- AWS
- JavaScript
6h

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Engineer - Generative AI

United Airlines -
Gurugram, Haryana

Apply Now

Job details

Full-time

Benefits

Health insurance

Qualifications

CI/CD
Cloud infrastructure
Law
React
Full-stack development
System design
NoSQL
Master's degree
Databases
Microservices
AWS
Continuous integration
SDKs
Back-end development
Angular
APIs
Scalability
S3
Middleware
AI
Communication skills
Python

Full 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

Apply Now

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full stack data engineer jobs in manesar gurugram haryana

Engineer - Generative AI

Expert Senior Manager, Software Engineering

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Software Engineer, .NET Core & React, VP

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