Okhla Delhi Delhi Engineer, devops (aws automation) Jobs – 157 Open Jobs Today

AI Engineer
K&k Global Talents —Noida, Uttar Pradesh
- ₹4,74,665.39 - ₹17,75,633.09 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- System design
Quick apply
Senior DevOps Engineer
Hupo —Delhi, Delhi
- Remote
- Azure
- DevOps
- AWS
Gen AI - Associate Engineer
Iris Software —Noida, Uttar Pradesh
- Azure
- DevOps
- Master's degree
- Health insurance
1d
Senior DevOps Engineer
Aligerous —Noida, Uttar Pradesh
- ₹22,00,000 - ₹25,00,000 a year
- Full-time
- DevOps
- AWS
- Scripting
Quick apply
dev lead
Persistent —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
- Flexible schedule
Senior DevOps / Infrastructure Engineer
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
11d
SAP BTP AI, Innovation and Emerging Tech Engineering Manager
EY —Noida, Uttar Pradesh
- Azure
- DevOps
- Java
- Health insurance
Senior DevOps Engineer
Lambda Computing Inc —Noida, Uttar Pradesh
- Computer Science
- Engineering
- Windows
Principal Lead DevOps
Ameriprise India —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- AWS
- Work from home
5d
Principal Engineer - DevOps
Paytm —Noida, Uttar Pradesh
- DevOps
- SQL
- AWS
AI Agentic Engineer / AI Developer (Immediate Joiner)
AvyaTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- ERP systems
- Master's degree
Tech S and T-Cloud AI Platform Architect-ISR-Manager-GDSF02
EY —Noida, Uttar Pradesh
- Azure
- Computer Science
- Master's degree
Lead Infrastructure Engineer (DevOps)
Local Circles India —Noida, Uttar Pradesh
- Email
- DevOps
- Databases
- AWS
AI Agentic Engineer / AI Developer
AvyaTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- ERP systems
- Master's degree
Devops Engineer
Tradeboox —Delhi, Delhi
- English
- Databases
- AWS
AWS DevOps Engineer
Athena Learning Management System Pvt. Ltd. —Delhi, Delhi
- ₹15,000 - ₹20,000 a month
- Full-time
- DevOps
- AWS
- Scripting
Quick apply
5d
Senior Devops Engineer - GCP Devops, Python, Terraform & Scripting
Optum —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- DevOps
- Health insurance
Gen AI - Engineer
Iris Software —Noida, Uttar Pradesh
- Master's degree
- AWS
- Machine learning
- Health insurance
Senior Associate – DevOps Engineer (D&T Techpod)
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Senior Engineer-Devops, Machine Learning Operations
BOLD LLC —Noida, Uttar Pradesh
- DevOps
- AWS
- Machine learning
- Health insurance
- Paid time off

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AI Engineer

K&k Global Talents
Noida, Uttar Pradesh

Quick apply

Job details

Full-time
₹4,74,665.39 - ₹17,75,633.09 a year

Qualifications

CI/CD
Performance tuning
Azure
Node.js
CSS
React
Full-stack development
Software deployment
DevOps
R
System design
NoSQL
Git
Test-driven development
Java
Databases
Microservices
SQL
AWS
Distributed systems
Continuous integration
REST
Natural language processing
GitHub
APIs
Agile
Keras
AI
Python
HTML

Full job description

Position: Senior AI Engineer/ Gen AI
Location: Toronto, ON (Hybrid)
Employment Type: Full-Time
Total Experience: 7 + years

Job Summary:
The Senior AI Engineer will lead the design, development, and deployment of enterprise scale Generative AI solutions. This role involves ownership of system architecture, agentic workflow design, end to end GenAI pipelines, and high performance backend services. The ideal candidate combines deep engineering expertise with hands-on experience in LLMs, scalable microservices, and modern software development practices. This position also includes mentoring engineers and driving engineering standards across teams.

Key Responsibilities:
Generative AI Engineering & Architecture

Lead the architecture, development, and production deployment of enterprise-grade Generative AI systems with a focus on scalability, reliability, and performance.

Design and implement agentic workflows using LLMs, tools, and orchestration frameworks to enable intelligent autonomous behaviors.

Build and integrate end-to-end GenAI pipelines, including model inference, RAG (Retrieval-Augmented Generation), embeddings, and application consumption via APIs.

Collaborate with data and platform engineering teams to implement vector search, semantic retrieval, and contextual grounding for AI driven responses.

Full-Stack & Backend Engineering

Apply strong full stack engineering skills to build user-facing GenAI applications and robust backend systems.

Develop scalable microservices and secure RESTful APIs to expose AI and ML capabilities across enterprise applications.

Integrate GenAI functions with front-end interfaces built using modern web technologies.

Deployment, Operations, & Quality

Lead model deployment, packaging, performance optimization, and lifecycle management in production environments.

Ensure reliability and quality through test driven development (TDD), reusable component design, and modern architectural principles.

•Drive CI/CD based releases, containerized deployments, and DevOps practices for AI-driven applications.

Collaboration & Leadership

Provide technical mentorship to intermediate engineers and contribute to architectural design reviews.

Champion engineering best practices, coding standards, and continuous improvement within Agile delivery teams.

Required Skills:

Programming & Full Stack Development

Proficiency in Python, Java, R, and SQL.

Frontend and full stack development experience with ReactJS, HTML, CSS, and Node.js.

AI / ML & Generative AI

Hands-on experience with Tensor Flow, Keras, and PyTorch.

Strong foundations in Generative AI, NLP, and NLU.

Expertise working with Large Language Models (LLMs) and prompt engineering.

Agentic & GenAI Frameworks

Experience with Lang Chain and familiarity with Lang Graph and Ollama.

Understanding of agentic system design, tool use, and workflow orchestration patterns.

Retrieval & Knowledge Foundations

Strong knowledge of vector databases, RAG pipelines, semantic search, and embedding techniques.

Architecture, APIs & Microservices

Demonstrated experience in micro services architecture, service-oriented design, and building scalable REST APIs.

Expertise in API-driven development and integration patterns.

Model Deployment & DevOps

Experience with model packaging, containerization, deployment pipelines, and operational monitoring.

Hands-on experience with GitHub, GitHub Actions, and CI/CD automation.

Familiarity with both SQL and NoSQL databases.

Preferred Qualifications:

Experience with cloud-based GenAI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).

Knowledge of distributed systems, high-availability architectures, and performance tuning.

Prior experience leading technical initiatives or architectural decision-making.

Pay: ₹474,665.39 - ₹1,775,633.09 per year

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

Quick apply

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engineer, devops (aws automation) jobs in okhla delhi delhi

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