Artificial Intelligence Specialist

Company: Fireflink

Website: Visit Website

Business Type: Small/Medium Business

Company Type: Product

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Artificial Intelligence

Salary Range: ₹ 40-80 Lacs PA

Job 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 Fireflink’s cloud-based SaaS products, with strong ownership across design, implementation, optimization, 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 using NLP, Computer Vision, and Generative AI
• Architect and implement complex AI solutions including RAG-based systems, agentic workflows, and enterprise GenAI use cases
• Build and optimize NLP pipelines, document understanding, and vision-based automation using OpenCV
• Design scalable AI architectures using LangChain, LangGraph, and vector-based retrieval frameworks
• Lead solution design, perform technical reviews, and guide teams on AI engineering best practices
• Collaborate with product, platform, and cloud teams to integrate AI models into production systems
• Drive innovation by evaluating emerging AI techniques and ensure scalability, security, and performance
• Mentor engineers and help build strong AI engineering capabilities (for Lead / Architect roles)
  
  

• Strong hands-on experience in NLP, Computer Vision (OpenCV), and Generative AI
• Experience designing and implementing RAG frameworks, agentic workflows, and context-aware AI systems
• Hands-on expertise with LangChain and LangGraph
• Strong programming experience in Python
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar
• Experience working with Vector Databases for semantic search and retrieval
  
  

• Experience with MLOps including model versioning, deployment, monitoring, and lifecycle management
• Hands-on experience deploying AI models in cloud environments (Azure / AWS / GCP)
• Experience integrating AI models into scalable, production-grade SaaS platforms
  
  

• Professionals who have built complex AI solutions from the ground up, not just consumed AI libraries or APIs
• Experience with 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
  
  

• 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
• Clear career growth into senior technical leadership and architecture roles