Artificial Intelligence Engineer

Role Overview

Senior AI Developer

This is a highly impactful role that bridges backend scalability with AI innovation, helping us deliver secure, intelligent, and real-time CRM experiences.

Key Responsibilities

• Design, build, and optimize AI-driven backend modules for our CRM platform
• Implement, train, and deploy machine learning models (NLP, speech analytics, predictive modeling) in production
• Integrate AI services seamlessly with existing microservices and APIs
• Ensure AI features meet scalability, latency, and compliance requirements
• Collaborate closely with backend, data engineering, and product teams to deliver AI features from concept to production
• Mentor and guide junior AI developers, fostering a culture of innovation and technical excellence
• Stay updated with advancements in AI/ML, LLMs, and cloud-native AI deployments

Eligibility Criteria

Education

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field

Experience

• 4+ years of overall software development experience
• Minimum 2+ years of hands-on AI/ML development (preferably NLP, speech, or applied AI in SaaS)
• Proven backend development experience in high-scale systems

Technical Proficiency

• Strong in one or more backend languages (Node.js / Python preferred)
• Experience with deep learning frameworks (PyTorch, TensorFlow, HuggingFace, etc.)
• Hands-on experience with AWS ecosystem for AI/ML (Lambda, Sagemaker, API Gateway, SQS, DynamoDB/MongoDB)
• Experience with deploying and scaling AI models in production environments
• Familiarity with LLMs, vector databases, and retrieval-augmented generation (RAG) is a strong plus

Soft Skills

• Strong problem-solving and analytical thinking
• Ability to mentor and collaborate effectively within cross-functional teams
• Passion for building scalable, intelligent systems

What We Offer

• Competitive salary aligned with market standards
• ESOPs for long-term wealth creation
• Opportunity to shape the AI roadmap of a global-scale SaaS CRM product
• Remote-first culture with flexibility and autonomy
• Exposure to cutting-edge AI engineering challenges in a real-world SaaS product