delhi prompt engineer Jobs – 70 Open Jobs Today

GenAi Engineer Excelra
Skyleaf Consultants —Delhi
- ₹20,00,000 - ₹25,00,000 a year
- Full-time
- Azure
- DevOps
- Databases
AI Prompt Engineer
Tata Consultancy Services —Delhi
- Azure
- Master's degree
- AWS
Head of Direct Bookings Growth
RivetStays Ontario Inc. —Delhi, Delhi
- ₹1,00,000 - ₹1,35,000 a month
- Full-time
- Hospitality
- JavaScript
- In-person
- Work from home
Quick apply
AI Prompt Engineer
Incrementors Web Solutions Pvt Ltd —Delhi, Delhi
- ₹10,000 - ₹15,000 a month
- Full-time
- In-person
- AI
Quick apply
AI Engineer
S.S.Rana & Co. —Delhi
- Full-time
- Azure
- Computer Science
- Master's degree
AI Agent Engineer
Cialfo —Delhi
- AI
- Python
3d
SMT Technical Support Engineer - Solder
AIM Solder —Mandhela Kalan, Delhi
- Full-time
- English
- Assembly
- Bachelor's degree
Quick apply
AI Video creator/Prompt Engineer
Unibots —New Delhi District, Delhi
- ₹3,00,000 - ₹4,00,000 a year
- Full-time
- English
- Bachelor's degree
- In-person
Quick apply
5h
ASSISTANT CHIEF ENGINEER
Andaz Delhi —Delhi, Delhi
- Full-time
AI Engineer (Fresher) – Mobile Radio Tester
ROHDE & SCHWARZ GmbH & Co. KG —Delhi, Delhi
- Online application
- Remote
- Azure
- Doctoral degree
- Computer Science
- Health insurance
AI/ML Engineer – Full Stack
Vizara Technologies Private Limited —Jasola, Delhi, Delhi
- ₹8,00,000 - ₹10,00,000 a year
- Full-time
- Master's degree
- APIs
- In-person
- Paid time off
- Paid sick time
Quick apply
8d
AI Engineer
TensorGo Technologies —Delhi, Delhi
- Computer Science
- Master's degree
- Databases
SQL Coding Specialist - Freelance AI Trainer Project
Meridial —Delhi, Delhi
- ₹8 - ₹65 an hour
- Remote
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
- Paid time off
1d
Lead Al Engineer
Tata Consultancy Services —Delhi
- Azure
- Master's degree
- AWS
Principal Software Engineer, AI
AlphaSense —Delhi
- DevOps
- Master's degree
- Machine learning
Senior Backend Platform Engineer, AI Enablement (Rails)
Cialfo —Delhi
- Azure
- Computer Science
- Master's degree
Senior Software Engineer (AI Applications)
AlphaSense —Delhi
- Computer Science
- Master's degree
- Analysis skills
Cloud Support Engineer
AlphaSense —Delhi
- Computer Science
- Java
- AWS
13d
Principal AI Systems Engineer
Atari, Inc. —Delhi
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
AI Engineer
Tata Consultancy Services —Delhi
- Azure
- Java
- AWS

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GenAi Engineer Excelra

Skyleaf Consultants -
Delhi

Apply Now

Job details

Full-time
₹20,00,000 - ₹25,00,000 a year

Qualifications

Azure
DevOps
Databases
AWS
Natural language processing
Cloud computing
AI
Communication skills
Python

Full job description

Excelra

Highlights:

4.00 - 11.00 Years

20.00 - 25.00 INR (Lacs)/Yearly

Full-time

Delhi, Bengaluru, Hyderabad

Roles & Responsibility

Key Responsibilities:

Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI.
Implementing AI models: This involves building and integrating AI models into existing systems and applications.
Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering.
Data preprocessing and analysis: This involves preparing data for use in AI models.
Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders.
Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments.
Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results.
Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks.

Required Skills:

Strong programming skills in Python: Python is the preferred language for AI development.
Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively.
Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines.
Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries.
Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization.
Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments.
Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders.

Optional Skills:

Experience with cloud computing platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models.
Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner.
Experience with DevOps practices: This can help with automating the development and deployment of AI models.

Requirements

Key Responsibilities:

Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI.
Implementing AI models: This involves building and integrating AI models into existing systems and applications.
Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering.
Data preprocessing and analysis: This involves preparing data for use in AI models.
Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders.
Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments.
Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results.
Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks.

Required Skills:

Strong programming skills in Python: Python is the preferred language for AI development.
Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively.
Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines.
Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries.
Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization.
Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments.
Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders.

Optional Skills:

Experience with cloud computing platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models.
Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner.
Experience with DevOps practices: This can help with automating the development and deployment of AI models.

Apply Now

Refine Your Search

prompt engineer jobs in delhi

GenAi Engineer Excelra

AI Prompt Engineer

Head of Direct Bookings Growth

AI Prompt Engineer

AI Engineer

AI Agent Engineer

SMT Technical Support Engineer - Solder

AI Video creator/Prompt Engineer

ASSISTANT CHIEF ENGINEER

AI Engineer (Fresher) – Mobile Radio Tester

AI/ML Engineer – Full Stack

AI Engineer

SQL Coding Specialist - Freelance AI Trainer Project

Lead Al Engineer

Principal Software Engineer, AI

Senior Backend Platform Engineer, AI Enablement (Rails)

Senior Software Engineer (AI Applications)

Cloud Support Engineer

Principal AI Systems Engineer

AI Engineer

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