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Weekday AI

Generative AI Engineer

Remote (India) · Senior · Remote

Mature listing - likely many applicantsVerified listingPosted 29d ago

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86Overall
64Skills
97Experience

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What we know about this role

Hiring pulse

HIGH

Weekday AI is actively reviewing profiles and moving candidates through the pipeline right now.

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First 72 hours

Window passed - posted 29d ago

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Reposted role

This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.

First posted Jun 30, 2026

Skills required

21 listed
Agentic AIPrompt EngineeringEnterprise ArchitectureMachine LearningDeep LearningVector DatabaseAzure OpenAI ServicePython (Programming Language)+13 more
Agentic AIPrompt EngineeringEnterprise ArchitectureMachine LearningDeep Learning

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Job description

Generative AI Engineer

Weekday AI · India (Remote) · Full-time · Posted 2026-06-30

Salary: INR 1,000,000–5,000,000

Workplace: remote

Department: Weekday's Client via platform

Description

This role is for one of Weekday’s clients
Salary range: Rs 1000000 - Rs 5000000 (ie INR 10-50 LPA)

Min Experience: 4+ years
Location: Remote India
JobType: full-time

This is a full-time Remote role for a Generative AI Engineer and ML expert.

You can work from home (anywhere in INDIA, job location is in India) and will be responsible for researching and developing our platform with cutting-edge AI agents.

Requirements

Qualifications

  • Experience in AI/GenAI solution for prompt engineering, architecture, consulting, and enterprise architecture
  • Experience in software development
  • Excellent communication skills (customer facing position)
  • A deep understanding of GenAI/ML technologies and their implementations
  • Experience in the financial, healthcare, or insurance industries is a plus
  • Bachelor's/Master's degree in Computer Science/data science or related field
  • Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python
  • Solid understanding and experience in designing, implementing, and optimizing end-to-end machine learning pipelines.

Minimum 5+ years of experience in Generative AI and Minimum 2+ years in traditional Machine Learning, with a focus on the creation, training, and deployment of services such as recommendation engines, deep learning, and generative AI models.

1. LLM (GPT); prompt engineering for reflex, model and self-learning agents

2. Facility with Python to code wrappers, interface with APIs, develop utilities

3. Experience with packages such as LangChain and LangGraph

4. Experience with assembling intelligent AI agents to implement variety of use cases

5. A recent use case for Agentic AI powered by LLMs: NLQ to SQL translator

6. You MUST have the ability to think through clearly for a solution design,

Experienced in Large Language Models, Transformers, CNN, TensorFlow, Scikit-learn, Pytorch, NLP libraries, Embedding Models, Vector Databases

Hands-on experience with OpenAI, Llama/Llama2 and other open-source models, and Azure OpenAI models Education- Engineering, Math and Statistics foundation, (Data Science/Computer Science preferred)

Requirements added by the job poster

• Bachelor's Degree from IITs/ NITs/ BITs/ IIITs would be preferred

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All open roles at Weekday AI

Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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