Runo - Artificial Intelligence Engineer - NLP/AWS SageMaker

<p><p>Were seeking a Senior AI Developer with strong backend engineering expertise and hands-on experience in AI/ML product development.

You will lead the design and development of our AI backend module, contribute to building advanced AI-powered features (e.g., conversational copilots, sentiment analysis, predictive insights), and mentor junior AI developers in the team.<br/><br/>This is a highly impactful role that bridges backend scalability with AI innovation, helping us deliver secure, intelligent, and real-time CRM experiences.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, build, and optimize AI-driven backend modules for our CRM platform<br/><br/>- Implement, train, and deploy machine learning models (NLP, speech analytics, predictive modeling) in production<br/><br/>- Integrate AI services seamlessly with existing microservices and APIs<br/><br/>- Ensure AI features meet scalability, latency, and compliance requirements<br/><br/>- Collaborate closely with backend, data engineering, and product teams to deliver AI features from concept to production<br/><br/>- Mentor and guide junior AI developers, fostering a culture of innovation and technical excellence<br/><br/>- Stay updated with advancements in AI/ML, LLMs, and cloud-native AI deployments<br/><br/><b>Eligibility Criteria :</b><br/><br/><b>Education :</b><br/><br/>Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field<br/><br/><b>Experience :</b><br/><br/>- 4+ years of overall software development experience<br/><br/>- Minimum 2+ years of hands-on AI/ML development (preferably NLP, speech, or applied AI in SaaS)<br/><br/>- Proven backend development experience in high-scale systems<br/><br/><b>Technical Proficiency :</b><br/><br/>- Strong in one or more backend languages (Node.js / Python preferred)<br/><br/>- Experience with deep learning frameworks (PyTorch, TensorFlow, HuggingFace, etc.)<br/><br/>- Hands-on experience with AWS ecosystem for AI/ML (Lambda, Sagemaker, API Gateway, SQS, DynamoDB/MongoDB)<br/><br/>- Experience with deploying and scaling AI models in production environments<br/><br/>- Familiarity with LLMs, vector databases, and retrieval-augmented generation (RAG) is a strong plus<br/><br/><b>Soft Skills :</b><br/><br/>- Strong problem-solving and analytical thinking<br/><br/>- Ability to mentor and collaborate effectively within cross-functional teams<br/><br/>- Passion for building scalable, intelligent systems<br/><br/><b>What We Offer :</b><br/><br/>- Competitive salary aligned with market standards<br/><br/>- ESOPs for long-term wealth creation<br/><br/>- Opportunity to shape the AI roadmap of a global-scale SaaS CRM product<br/><br/>- Remote-first culture with flexibility and autonomy<br/><br/>- Exposure to cutting-edge AI engineering challenges in a real-world SaaS product</p><br/></p> (ref:hirist.tech)