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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and implementation of complex features like domain-specific conversational AI agents for public sector areas such as Agriculture and Education.
Advocate and enforce high standards for code quality and system reliability through design reviews, CI/CD pipelines, and on-call health monitoring.
Translate open-ended technical problems into tractable projects with innovative solutions focused on scaling and reliability while applying AI-first software development lifecycle (AI-SDLC) practices.
Minimum Requirements
Bachelor’s degree or equivalent practical experience.
Minimum 5 years programming experience in Go or Python.
At least 3 years experience in software development involving distributed systems, cloud-native infrastructure, Large Language Models (LLMs), Generative AI, or Agentic AI frameworks.
Preferred: 6 years experience in AI/ML and software development, including distributed systems and generative AI domains.
Ideal Candidate Profile
Experienced in designing and scaling complex AI-driven software solutions, especially in conversational AI for public sector domains.
Strong advocate for engineering best practices and high code quality within a full-stack, cloud environment.
Comfortable refining ambiguous problems into implementable features with focus on large-scale system reliability and evolving AI technologies.