# Lead AI Engineer

> Weekday AI · Hyderabad, India · Full-time · Posted 2025-03-07

**Salary:** INR 4,000,000–7,000,000

**Workplace:** on_site

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

## Description

**This role is for Weekday's client.  
  
Role Overview**

As the **Lead AI Engineer**, you will be responsible for spearheading the design, development, and deployment of AI solutions. You will work with various **large language models (LLMs)**—both open-source and proprietary—optimizing them through **fine-tuning, prompt engineering, agentic frameworks, and retrieval-augmented generation (RAG)** methodologies. Additionally, you will play a key role in managing the AI engineering team, fostering innovation, and ensuring successful execution of AI-driven projects.

## Requirements

### **Key Responsibilities**

1.  Lead the AI engineering team in designing, developing, and deploying **LLM-powered solutions**.
2.  Work with **open-source (Llama, Mistral, Falcon, etc.) and proprietary models (GPT-4, Claude, Gemini, etc.)** to build state-of-the-art AI applications.
3.  Develop strategies for **fine-tuning** models on proprietary datasets to enhance performance for specific use cases.
4.  Architect and implement **retrieval-augmented generation (RAG) systems** for improved response accuracy and efficiency.
5.  Build and integrate **agentic frameworks** that allow LLMs to autonomously reason, plan, and execute multi-step tasks.
6.  Oversee the **data pipeline, model training, and deployment** workflows to ensure scalability and efficiency.
7.  Collaborate with **cross-functional teams** (product managers, data scientists, and software engineers) to align AI development with business objectives.
8.  Stay up to date with the latest advancements in AI research and bring innovative solutions to the company.
9.  Ensure best practices for **model evaluation, bias mitigation, and ethical AI deployment**.
10.  Drive the team's **technical roadmap, hiring strategy, and mentorship initiatives**.  
     

### **Required Skills & Qualifications**

1.  **5+ years of experience** in AI/ML engineering, with a strong focus on **LLMs and NLP**.
2.  Proficiency in **Python** and AI frameworks such as **PyTorch, TensorFlow, LangChain, LlamaIndex, or similar**.
3.  Deep understanding of **transformers, embeddings, tokenization, attention mechanisms, and distributed training**.
4.  Experience in **fine-tuning large-scale models** on domain-specific datasets.
5.  Hands-on experience with **vector databases (e.g., FAISS, Weaviate, Pinecone)** for retrieval-based AI applications.
6.  Strong knowledge of **MLOps** practices, including model deployment, monitoring, and lifecycle management.
7.  Proven experience leading AI/ML teams, managing **project timelines, sprints, and stakeholder expectations**.
8.  Experience with **cloud platforms (AWS, GCP, Azure)** and optimizing AI workloads for production environments.
9.  Strong problem-solving skills with a research-driven mindset.  
    

### **Preferred Qualifications**

-   Experience working with **multi-modal models** (text, image, video, audio).
-   Knowledge of **RLHF (Reinforcement Learning from Human Feedback)** techniques.
-   Contributions to open-source AI projects or published research papers.
-   Prior experience in a **high-growth AI startup or AI research lab**.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/09FA00BE67/apply)

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