Senior GenAI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-09-11). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description agrees: it names India.
What the ad says
…Location: Remote (India)…
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 4d ago · last seen just now
The listing
This role is for one of Weekday’s clients
Min Experience: 5+ years
Location: Remote (India)
JobType: full-time
We're looking for a Senior Agentic AI/Generative AI Engineer to help architect our next-generation AI-driven products — from prototyping through production deployment. This is a customer-facing role where you'll move fluidly between solution architecture, hands-on engineering, and client conversations.
Requirements
Key Responsibilities:
- Architect and build scalable Generative AI and agentic AI applications, end to end
- Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems
- Build intelligent AI agents using LangChain and LangGraph for use cases like NL-to-SQL, autonomous task agents, and RAG pipelines
- Select, customize, fine-tune, and optimize state-of-the-art LLMs
- Design and own full ML/GenAI pipelines — training, deployment, monitoring, lifecycle management
- Build APIs, microservices, and integration frameworks to bring AI into enterprise products
- Champion responsible AI practices — mitigating hallucinations, bias, and reliability risks
- Partner directly with customers, product, and engineering to turn business needs into robust AI architecture
- Mentor engineers and help shape our long-term AI platform strategy
Required Qualifications:
- 6+ years in traditional ML, including 2+ years hands-on with Generative AI
- Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems
- Real-world experience with LangChain/LangGraph or similar agentic frameworks
- Strong Python skills — API wrappers, third-party integrations, internal tooling
- Solid foundation in Transformers, CNNs, RNNs — hands-on with TensorFlow, PyTorch, Scikit-learn
- Experience with NLP, embedding models, and vector databases
- Hands-on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open-source models
- Experience designing distributed, cloud-native architectures (microservices, REST APIs)
- Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes
- MLOps/LLMOps experience — training, deployment, monitoring, lifecycle management
- Excellent communication skills — you can translate technical depth for non-technical stakeholders
- Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field
- Comfort with startup pace and strong ownership mentality
Preferred Qualifications:
- LLM fine-tuning experience (LoRA, RLHF, PEFT)
- Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation)
- AI observability/monitoring tool experience
- Familiarity with AI governance and compliance (GDPR, SOC 2)
- Prior consulting or solution-architecture experience shipping enterprise AI products
- Background in financial services, healthcare, or insurance
Must-have skills
Agentic AI, Generative AI, Artificial Intelligence
Good-to-have skills
Machine Learning, LangChain, LangGraph