Key ResponsibilitiesWork directly with users and technical stakeholders to understand workflows, data sources, pain points, and success criteria.
Translate ambiguous operational requirements into clear technical designs and deployable solutions.
Build production-grade applications, APIs, integrations, data workflows, and AI-powered features.
Develop LLM, RAG, agentic, extraction, classification, and decision-support workflows.
Deploy and operate solutions using cloud platforms, containers, CI/CD, monitoring, logging, testing, and security controls.
Debug issues across application, data, model, infrastructure, and integration layers.
Scale successful pilots into production rollouts across multiple teams or customer environments.
Identify reusable implementation patterns and convert customer feedback into actionable product requirements and playbooks.
Required QualificationsStrong software engineering experience in at least one major area, such as backend development, full-stack development, data engineering, AI engineering, cloud infrastructure, or enterprise integrations.
Demonstrated ability to build and ship working software in real operational environments—not only prototypes or demos.
Proficiency in one or more modern programming languages, such as Python, TypeScript, JavaScript, Go, or Java.
Practical experience with APIs, databases, authentication, deployment workflows, and production debugging.
Strong problem-solving ability in ambiguous and fast-moving environments.
Sound judgment when balancing speed, reliability, security, scalability, and maintainability.
Excellent communication skills and confidence working directly with both technical and non-technical stakeholders.
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