# Agentic AI Engineer

> Weekday AI · India (Remote) · Full-time · Posted 2026-09-11

**Workplace:** remote

**Department:** Weekday's Client via platform

## Description

**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

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/F492172802/apply)

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