Description :

About Fireflink :

Fireflink is an AI-driven cloud and automation SaaS product company. We build advanced platforms across Automation, RPA, and Cloud, leveraging AI/ML, NLP, Computer Vision, and Generative AI to solve complex enterprise problems at scale.

Our focus is on building products-not just consuming libraries-using deep engineering and architectural thinking.

Role Overview :

We are looking for highly skilled AI professionals who have designed and built complex AI solutions end-to-end, rather than only using pre-built AI libraries.

The role involves architecting and developing scalable AI capabilities for Fireflinks cloud-based SaaS products, with strong ownership across design, implementation, optimisation, and deployment.

Depending on experience, the role will be positioned as AI Tech Lead / Associate AI Architect or AI Architect.

Key Responsibilities :

- Design and develop AI-driven capabilities for cloud and automation SaaS products using NLP, Computer Vision, and Generative AI.

- Architect and implement complex AI solutions, including RAG-based systems, agentic workflows, and enterprise-grade GenAI use cases.

- Build and optimise NLP pipelines, document understanding, and vision-based automation using OpenCV and related techniques.

- Design scalable architectures using LangChain, LangGraph, and vector-based retrieval frameworks.

- Lead solution design discussions, perform technical reviews, and guide teams on best practices in AI engineering.

- Work closely with product, platform, and cloud teams to integrate AI models into production-grade systems.

- Drive innovation by evaluating emerging AI techniques, frameworks, and architectures relevant to SaaS platforms.

- Ensure robustness, scalability, security, and performance of AI solutions deployed in cloud environments.

- Mentor engineers and contribute to building strong AI engineering capabilities within the organisation (for Lead/Architect roles).

What We Are Specifically Looking For :

- Professionals who have built complex AI solutions from the ground up, not just consumed AI libraries or APIs.

- Experience working on enterprise-scale, real-world AI projects involving architecture, trade-offs, and optimisation.

- Strong problem-solving mindset with the ability to translate business problems into robust AI architectures.

Required Skills & Experience :

Primary Skills :

- Strong hands-on experience in NLP, Computer Vision (OpenCV), and Generative AI models.

- Experience designing and implementing RAG frameworks, agentic workflows, and context-aware AI systems.

- Hands-on expertise with LangChain and LangGraph for building complex AI pipelines.

Secondary Skills :

- Strong programming experience with Python.

- Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.

- Experience working with Vector Databases for semantic search and retrieval use cases.

Platform & MLOps :

- Experience with MLOps, including model versioning, deployment, monitoring, and lifecycle management.

- Hands-on experience deploying AI models in cloud-based environments (Azure/AWS/GCP).

- Experience integrating AI models into scalable, production-grade SaaS platforms.

Why Join Fireflink :

- Opportunity to build core AI capabilities for a fast-growing SaaS product company.

- Work on cutting-edge AI problems across Automation, RPA, Cloud, NLP, Computer Vision, and GenAI.

- High ownership, strong engineering culture, and direct impact on global enterprise customers.

- Career growth into senior technical leadership and architecture roles.