Senior Backend AI Engineer

About Us

Cyncly is a global technology powerhouse with over 2,400 employees and 70,000 customers across more than 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 world's 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 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.

Build Your Career with Cyncly in Kochi

Kochi is Cyncly’s newest hub, opening doors to exciting career opportunities across diverse functions. Here, you’ll collaborate with global experts, engage in innovative projects, and grow in a culture that values innovation, flexibility, and continuous learning. With access to top mentors, excellent learning resources, and a flexible and autonomous working environment, you’ll have everything you need to thrive.

Vision

Working with various development teams from Cyncly organization and partners based on a subscription model, the content consumption team are the main actors responsible for connecting the various applications with the content. They represent the ambassador of the unified content platform in terms of consuming content, exposing our largest repository of unified catalogs for our various end-to-end software solutions. They provide rich quality content to empower applications use cases.

Mission

Deliver high quality interfaces exposing APIs, SDKs, and documentation. The team provides high level standards of Interface, documentation, and support integration of the content platform. They are responsible for making the content platform back-end APIs as the foundation for the counter part of the content consumption running client side, providing examples and support. The team is responsible for driving the core business API which defines how the content is modeled, including advance search mechanism and server-side business logic. While supporting the various teams, they collect feedback on additional needs and improvements to continuously improve the content platform to always be the bleeding edge as a content provider.

Senior AI Engineer

We are building a next-generation AI-powered content platform that enables the ingestion, transformation, and distribution of complex product data at scale. Our platform processes structured and unstructured content (e.g., PDFs, images, catalogs, external data sources) and transforms it into high-quality, normalized data powering downstream applications such as design tools, automation workflows, and digital experiences. We are looking for a Senior AI Engineer to lead the design and implementation of AI-driven content ingestion and transformation pipelines, combining modern LLM capabilities with robust backend engineering.

What You’ll Do

• Design and build AI-powered content ingestion pipelines to extract, transform, and normalize data from heterogeneous sources (PDFs, images, catalogs, APIs).
• Develop scalable systems combining LLMs, deterministic processing, and validation layers to ensure high-quality outputs.
• Implement data transformation and schema mapping strategies to align extracted content with platform data models.
• Build and optimize AI inference pipelines for performance, reliability, and cost efficiency.
• Handle large-scale, variable, and noisy datasets, ensuring robustness across diverse input formats.
• Design post-processing, validation, and reconciliation mechanisms to improve extraction accuracy and consistency.
• Contribute to prompt engineering and model evaluation, including experimentation across models and approaches.
• Collaborate with product and domain experts to incorporate real-world content constraints and user feedback into solutions.
• Support the evolution of a multi-model architecture, selecting the right model for each use case.
• Mentor other engineers and contribute to engineering best practices.

What We’re Looking For

Required Skills

• 5+ years of experience in software engineering, with strong backend and distributed systems expertise.
• Proven experience building AI-powered systems in production, beyond simple integrations.
• Strong experience with .NET / ASP.NET Core, Typescript, Python and modern backend frameworks.
• Deep understanding of LLMs, prompt engineering, and model limitations in real-world scenarios.
• Experience designing scalable data pipelines and processing large datasets.
• Solid understanding of API design, microservices, and cloud-native architectures.

AI & Content Processing Expertise

• Experience building systems for extracting data from unstructured content (e.g., PDFs, images, documents).
• Familiarity with challenges such as:
  • Inconsistent formats and layouts.
  • Missing or ambiguous data.
  • Context fragmentation across inputs.
• Experience combining AI with deterministic logic (rules, heuristics, schema validation).
• Ability to design structured outputs and map them to domain-specific schemas.

Preferred Experience

• Experience with content ingestion pipelines or ETL systems at scale.
• Experience working with product catalogs, manufacturing data, or similar structured domains.
• Familiarity with human-in-the-loop systems, feedback loops, or user-guided AI workflows.
• Experience evaluating and comparing multiple models (e.g., GPT variants, open-source models).
• Knowledge of data quality, validation frameworks, and reconciliation strategies.

Tech Environment

• Cloud: Azure.
• Backend: Microservices architecture (.NET / ASP.NET Core).
• AI: LLM-based systems (multi-model approach).
• Data: Structured + unstructured content processing pipelines.

Required Qualities

• Strong sense of ownership and accountability.
• Architectural mindset with attention to long-term maintainability.
• High standards for code quality and system reliability.
• Curiosity and pragmatism in applying AI to real business problems.
• Ability to influence without authority and align multiple stakeholders.
• Excellent communication and technical storytelling skills.
• Proactive, autonomous, and highly organized.
• Collaborative team player with a mentoring mindset.
• Adaptable in a fast-moving AI and cloud ecosystem.
• Good sense of humor.
• Open-minded and innovation-driven.