AI Lead - Gen AI Solution

Job Title: AI Lead - Gen AI Solution

Location: Kochi or Bangalore, India (Hybrid)

Permanent - Full Time

About Us

Cyncly is a global technology powerhouse with 2,400+ employees and 70,000+ customers across 100+ countries. Cyncly transforms the way customizable products and spaces are imagined, designed, sold, managed and made. Our end-to-end software solutions connect professional designers, retailers and manufacturers to the worlds largest repository of product content. Today, our business spans across the Kitchen & Bath, Furniture, Window, Glass & Door, and Flooring industries with operations in North & South America, Europe, Asia Pacific and Africa.

Cyncly brings over 30 years of experience to deliver more value for our customers through an expanded portfolio of end-to-end solutions. Our global presence allows us to provide world-class support and sales with a local touch, providing the best possible customer experience.

Cyncly is now embarking on an exciting journey as we continue to expand through strong organic growth and complementary acquisitions, backed by leading growth private equity firms specializing in technology.

Cyncly & The Power of AI

At Cyncly, we believe in unlocking the power of AI to deliver highly personalized and extraordinary experiences for our customers and their clients. We are on a dynamic journey of seeking exceptional talent to add critical AI models and functionality to our products used by over 17,000 customers worldwide. This is opportunity to be a part of a collaborative team that fosters continuous learning and growth, where youll work on exciting data driven projects that redefine the Spaces for Living industry. AI is reshaping private and business life at an unprecedented speed, and Cyncly is committed to leading the charge in delivering new sources of value for our customers.

About the role

We are seeking a Staff-level AI Champion to serve as our primary technical authority in Controllable Generative AI and Computer Vision. This role will drive adoption and excellence in AI-assisted visual development across our engineering organization, empowering our teams to leverage state-of-the-art Generative AI to solve complex, real-world design challenges.

As a "Special Ops" engineer, you will lead the development of high-precision visual transformation systems—bridging the gap between creative intent and pixel-perfect execution. You will prototype sophisticated solutions for context-aware scene manipulation and material synthesis, building the scalable infrastructure required to bring these innovations to life. While you will mentor and upskill technical teams in AI-first development practices, your primary focus is delivery, deep-tech problem solving, and maintaining the highest standards of engineering excellence.

Key Position Responsibilities Include:

Hands-on Generative AI & Vision (The "Core")

• Advanced Visual Manipulation: Own the development of pipelines using Diffusion Models (Stable Diffusion, Flux, SDXL) and ControlNet/IP-Adapter to perform precise, localized edits in complex scenes (e.g., swapping a floor or a cabinet style while keeping the rest of the image untouched).
• State-of-the-Art Segmentation: Implement and fine-tune modern perception models like Mask2Former, SAM 2, or RF-DETR to achieve surgical accuracy in identifying and isolating objects within high-resolution images.
• VLM Integration: Experiment with and fine-tune Vision Language Models (VLMs) to translate complex, nuanced user requirements into visual execution.

Model Training & Data Innovation

• Specialized Fine-Tuning: Directly handle the training of LoRAs and adapters to teach models new visual "vocabularies" (textures, materials, or specific product styles).
• Synthetic Data Architect: Design and build automated systems to generate high-quality synthetic training data using LLMs/VLMs to solve "data cold-start" problems for new features.
• Accuracy Optimization: Lead the effort in improving model metrics through hyperparameter tuning, loss function customization, and active learning loops.

Engineering & Scalability (Individual Impact)

• High-Performance APIs: Build and optimize FastAPIs that handle complex, asynchronous GenAI workloads with high reliability and low latency.
• Inference Optimization: Work on "making it fast" by utilizing TensorRT, Triton Inference Server, or Model Quantization (INT8/FP8) to ensure high performance.
• Technical Mentorship: Act as the "internal consultant" for other engineering teams, providing code reviews, technical workshops, and guidance on AI best practices without formal management duties.

Required Experience and Qualifications:

• 8+ years in Data science/AI, with 3+ years of deep, hands-on experience in Generative AI or Computer Vision.
• The "Builder" Mindset: You must be comfortable being the primary coder for complex prototypes.
• Deep Tech Stack: Models: Expertise in Diffusion (Stable Diffusion/Flux) and Perception (Mask2Former/DETR/SAM).
• Frameworks: Expert tensorflow/PyTorch user, Hugging Face diffusers & transformers, open CV.
• Backend: Advanced Python, FastAPI.
• Ops: Experience with Docker, Kubernetes, and GPU-based inference scaling.
• RAG & Embeddings: Hands-on experience with Vector Databases (MongoDB, Pinecone, cosmos) for multimodal search and retrieval.
• Good understanding of AI/ML modelling techniques and implementation experience.

Core Competencies:

• Controllable Generation: High-fidelity, localized image edits (floors/cabinets/worktops) with zero-drift in lighting, perspective, or structural geometry.
• Accuracy-Driven Adoption: Precision fine-tuning of Diffusion/Perception models (LoRAs, ControlNets, Mask2Former) to eliminate artifacts and maximize user trust.
• High-Throughput Infrastructure: Build optimized inference systems (TensorRT/Triton) that generate images in quick time, even during peak user traffic.
• Production-Ready APIs: Resilient, asynchronous FastAPI services that seamlessly bridge complex AI models with real-world design applications.
• Self-Improving Data Flywheel: Automated synthetic data pipelines using LLMs/VLMs to continuously identify and fix model edge cases and data defects.

Working for Us

At Cyncly, we call our team OneCyncly, a reflection of how we work together as one, united by our purpose: powering businesses that bring spaces to life. Our strength comes from our diversity of experiences, perspectives, and skills - and we thrive when we work together with openness, trust, and respect.

Here, you’ll join a group of colleagues who take ownership, solve problems, and focus on making an impact. We embrace curiosity, welcome new ideas, and see mistakes as opportunities to learn. You’ll have the freedom to work flexibly and autonomously, supported by teammates and leaders who are committed to your growth.

We celebrate the different ways people contribute and encourage everyone - from every background - to bring their authentic self to work. Because when we collaborate, challenge each other, and share what we know, we build something better together.

If you want to work in a place where your ideas matter, your growth is valued, and your work shapes the spaces people live, work, and play in - Come join us.