Job Summary

8+ years of qualified software engineering experience, including at least 2 years building and maintaining production AI systems.

Requirements
Experience launching AI features for real users and improving them using production feedback and measurable metrics.
Strong programming skills in Python and SQL.
Hands-on experience with Generative AI, LLMs, RAG, prompt engineering, and agentic AI architectures.
Robust understanding of distributed systems, event-driven architecture, asynchronous processing, and streaming.
Experience with vector search, hybrid retrieval, reranking, and retrieval quality evaluation.
Knowledge of LLM evaluation frameworks, test datasets, regression suites, and model selection.
Experience implementing AI guardrails, security controls, and auditability.
Proficiency in cloud deployment, preferably AWS, along with Docker or similar container technologies and CI/CD.
Solid problem-solving, independent execution, communication, and stakeholder management skills.

Qualifications
Bachelor's degree in Computer Science, Engineering, or another quantitative or technical discipline.

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