The salary range for this position is Rs 2000000 - Rs 9000000 (INR 20-90 LPA).
A minimum of 4 years of experience is required.
This is a full-time job.
You will build and own AI-backed features end to end, from ideation to production, including layout logic, smart cropping, visual enhancement, out-painting, and GenAI workflows for background fills.
You will design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines.
You will write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch.
You will handle pixel-level transformations, including custom masks, color space conversions, geometric warps, and contour operations with speed and precision.
You will integrate your models into our production web app (AWS-based Python/Java backend) and optimize them for latency, memory, and throughput.
You will frame problems when specifications are vague, helping to define what “good” looks like and then building it.
You will collaborate with product, UX, and other engineers without relying on formal handoffs, taking ownership of your domain.
Requirements:
You need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN, including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions).
Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques is required.
You should have 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini, and how to compose multi-modal pipelines.
A solid grasp of production model integration, including model loading, GPU/CPU optimization, async inference, caching, and batch processing is necessary.
Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement is required.
You must have the ability to debug and diagnose visual output errors, such as weird segmentation artifacts, off-center crops, and broken masks.
A deep understanding of image processing in Python, including array slicing, color formats, augmentation, geometric transforms, and contour detection is essential.
Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infrastructure (ECS, EC2/GPU, Lambda) is required.
You should have a customer-centric approach, considering how your work affects end users and product experience, not just model performance.
A quest for high-quality deliverables is necessary; you should write clean, tested code and debug edge cases until they are truly fixed.
You must have the ability to frame problems from scratch and work without strict handoffs, building from a goal, not a ticket.
Benefits:
You will have full autonomy over your problem space.
The company promotes a builder-first, no-handoff culture.
There is remote-first flexibility, with a preference for candidates in India.
The compensation package includes a base salary, variable pay, and meaningful equity.
You will be involved in a product that is shipping to some of the world’s most recognizable brands.
