Technical Engineer

Location: Remote

Type: Full-Time

Experience: 3–5 Years

Compensation: Equity + Fixed

About Us

We are an early-stage startup on a mission to revolutionize the way Architects think and curate plans using cutting-edge AI. Backed by alums from top IITs/IIMs, we're building a world-class product that leverages image processing, computer vision, and generative AI to solve real-world problems at scale.

We're looking for a Founding Tech Engineer to join us at ground zero—someone who’s excited to build, iterate, and grow with us.

What You'll Do

Own end-to-end development of core AI/ML pipelines focused on image understanding and generation.

Architect and implement scalable systems for image data ingestion, preprocessing, and

model inference.

Develop and fine-tune computer vision and generative models (e.g., GANs, diffusion models).

Collaborate closely with founders to shape product direction and technical roadmap.

Drive key technical decisions related to infrastructure, ML model deployment, and data

pipelines.

Rapidly prototype and test new ideas in the generative AI space.

What We’re Looking For

Must-Haves

3–5 years of experience in AI/ML, with strong focus on computer vision and image-based applications.

Hands-on experience with generative AI techniques (GANs, VAEs, Diffusion Models, etc.).

Proficient in Python and ML frameworks like PyTorch or TensorFlow.

Strong grasp of image processing techniques (segmentation, detection, enhancement, etc.).

Experience in training and deploying models in production.

Ability to work independently and take ownership in a fast-paced startup environment.

Nice-to-Haves

Familiarity with multi-modal models or foundational models (e.g., CLIP, DALL·E, Stable Diffusion).

Exposure to cloud infrastructure (AWS/GCP) and MLOps practices.

Experience with edge deployment or mobile computer vision pipelines.

Contributions to open-source AI projects or publications in relevant fields.

What You’ll Get

Founding-level equity and real ownership in a high-potential startup.

Direct influence over product, tech stack, and team culture.

Opportunity to build novel AI-driven solutions from the ground up.

A collaborative, high-learning environment.