Senior Full Stack Engineer – Conversation AI

• Lead the design and development of scalable, robust conversational AI platforms and applications, integrating cutting‑edge NLP and machine learning models.
• Architect and implement end‑to‑end full‑stack solutions, encompassing front‑end interfaces, back‑end services, and database management for AI‑driven experiences.
• Drive the integration of third‑party AI services and APIs, ensuring seamless data flow and functionality within our conversational systems.
• Develop and optimize machine learning pipelines for intent recognition, entity extraction, and dialogue management, focusing on performance and accuracy.

At least 6+ years in software development, with strong expertise in building scalable, secure web applications using micro services, REST APIs, and modern frameworks (FastAPI, React.js)

Hands‑on experience with GenAI engineering, Retrieval-Augmented Generation (RAG) workflows, and cloud‑native deployments (Azure/AWS)

Bachelor’s degree in quantitative field such as Computer Science, Software Engineering or related field required

Master is a preferred

• Full-stack development for AI/ML and GenAI applications
• Backend:
  FastAPI, Flask, Node.js
• Frontend:
  React.js, Angular, Vue.js
• REST API development and micro services architecture
• Integration of GenAI models into enterprise platforms
• Strong in Python, JavaScript/Type Script, and cloud-native tools
• Experience with RAG and agentic workflows

• Scalable data pipelines and preprocessing workflows
• Handling large, complex datasets efficiently
• Data governance and transformation best practices

Azure and AWS services (storage, compute, serverless)

Deploying Azure OpenAI and foundation models

GenAI engineering

micro services

cloud-native deployments