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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, test, deploy, and support GenAI solutions including LLM-powered assistants, Custom GPTs, and RAG applications on enterprise platforms.
Build scalable AI pipelines integrating prompt engineering, vector retrieval, workflow orchestration, and secure APIs in cloud environments, primarily AWS.
Implement automated testing, monitoring, security safeguards, CI/CD, and collaborate with cross-functional teams to deliver reliable, secure AI-enabled software.
Minimum Requirements
Master's degree with 4+ years or Bachelor's degree with 6+ years relevant experience in Computer Science, IT, Engineering, Data Science, or related field.
4+ years professional software development experience including systems integration and application engineering.
2+ years hands-on experience building, deploying, or supporting production GenAI applications or similar AI-enabled software.
Strong skills in Python, prompt engineering, vector databases, API design (REST/GraphQL), AWS cloud services (e.g., Lambda, EKS, API Gateway), and automated testing/CI-CD.
Ideal Candidate Profile
Experienced in designing and building secure, cloud-native GenAI applications integrating LLMs with enterprise data and systems.
Comfortable working in agile, cross-functional global teams with strong communication and technical documentation skills.
Skilled in full-stack development with Python and modern web frameworks (TypeScript, React, Next.js) plus proficiency in observability, evaluation, and AI safety guardrails.