# Lead AI Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-17

**Salary:** INR 3,000,000–7,000,000

**Workplace:** on_site

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

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟳𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟬-𝟳𝟬 𝗟𝗣𝗔)

Experience: 8+ yrs

Location: Bengaluru

Job Type: Full-time

We are looking for a highly experienced **AI Research Engineer** to join an advanced AI research team focused on transforming cutting-edge developments in **Vision-Language Models (VLMs), Vision-Language Action Models (VLAs), diffusion models, and multimodal AI** into robust, real-time systems for dynamic construction environments.

This role offers an opportunity to work at the intersection of **deep learning research, computer vision, generative AI, robotics, and edge deployment**. You will be responsible for taking research concepts from problem definition and experimentation through evaluation and production hand-off. The ideal candidate will have strong research depth, hands-on experience with large-scale AI systems, and the ability to translate complex mathematical and theoretical concepts into reliable production solutions.

## Requirements

### Key Responsibilities

-   Research and develop **diffusion-based generative models** for photorealistic surface simulation, defect synthesis, and domain adaptation.
-   Design and train **VLM and VLA architectures** that integrate textual instructions, CAD plans, visual inputs, and sensor data.
-   Develop scalable **auto-annotation and data-centric AI pipelines** using active learning, pseudo-labeling, self-training, weak supervision, and synthetic data.
-   Build and optimize deep-learning models for large-scale training and real-time inference.
-   Apply techniques such as **INT8 quantization, LoRA, knowledge distillation, and model compression** for edge deployment.
-   Optimize models for **Jetson-class hardware, CUDA, TensorRT, and ONNX Runtime** within robotics environments.
-   Own the complete research lifecycle, including problem definition, literature review, prototyping, experimentation, evaluation, and production hand-off.
-   Establish offline and online evaluation frameworks to measure model accuracy, robustness, latency, and scalability.
-   Collaborate with perception, robotics, controls, and engineering teams to integrate AI solutions into production systems.
-   Prepare internal technical reports and contribute to external research publications and conferences.
-   Mentor interns and junior AI/ML engineers and provide technical leadership on research initiatives.

### What's Makes You a Great Fit

-   **8+ years of experience** in deep-learning research and development, or an advanced degree such as an M.S./Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related discipline.
-   Strong hands-on expertise in **diffusion models**, including DDPM, LDM, and ControlNet.
-   Experience with **multimodal transformers and Vision-Language Models**, such as CLIP, BLIP-2, LLaVA, or Flamingo.
-   Proven experience building large-scale, data-centric AI workflows involving **active learning, pseudo-labeling, weak supervision, or synthetic data**.
-   Advanced proficiency in **Python and PyTorch or JAX**, along with experience in scalable model training and experiment tracking.
-   Familiarity with **PyTorch Lightning, DeepSpeed, Ray**, or comparable distributed-training frameworks.
-   Strong understanding of **CUDA, C++, TensorRT, and ONNX Runtime** for performance optimization and edge AI deployment.
-   Solid mathematical foundation in **probability, optimization, information theory, and machine learning**.
-   Ability to translate advanced research concepts into clean, scalable, production-ready implementations.
-   Strong problem-solving, research, communication, and technical leadership skills.
-   Experience with **ROS 2, Nav2, MoveIt 2, Open3D, or robotics perception systems** is an added advantage.
-   Exposure to synthetic data generation using platforms such as **Isaac Sim** will be highly valuable.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/5A1B04216D/apply)

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