Generative AI Engineer
Weekday AI
Generative AI Engineer
Weekday AI
Proactive software engineer recruitment via referrals
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
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.
Qualifications
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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Proactive software engineer recruitment via referrals
Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.
Explore more opportunities at Weekday AI