Senior Developer - AI Engineer (AI)

TL;DR

Senior Developer - AI Engineer (AI): Building AI-powered analytics features that turn rich digital shelf and market share datasets into actionable insights with an accent on end-to-end feature development, secure low-latency data retrieval, and LLM integration pipelines. Focus on scaling production-grade systems with retrieval-augmented generation, function calling/agentic workflows, and rigorous evaluation, testing, and observability.

Company

hirify.global builds AI-powered data insights for ecommerce retailers, analysts, and investors.

What you will do

• Deliver end-to-end AI-powered analytics features, from architecture through production deployment.
• Mentor teammates and collaborate with Product, Data Science, and Design to ship reliable conversational flows.
• Design secure, low-latency data retrieval and AI integration pipelines for internal datasets and APIs (e.g., function calling and agentic workflows).
• Build and scale integrations to data sources by defining schemas, queries, and caching strategies; improve backend components for efficient resource trade-offs.
• Set up quality guardrails with automated tests/evaluations and observability; optimize scalability, performance, and cost; run A/B tests.
• Optimize context engineering and data retrieval strategies to balance relevance, latency, and token efficiency for accurate AI insights.

Requirements

• 6+ years in software development, including 3+ years with Python; experience with .NET C# or Java.
• Practical experience with LLM-based systems: prompt engineering, context optimization, retrieval-augmented generation, function calling, embeddings, and vector databases.
• Experience building APIs and microservices; strong software design, testing, and debugging skills.
• Frontend development experience with JavaScript and React; data visualization/charting experience is a plus.
• Strong understanding of data retrieval optimizations, caching strategies, and query performance tuning.
• Cloud experience (preferably AWS), including CI/CD, containers (Docker/Kubernetes), and monitoring/observability; excellent English communication skills.

Culture & Benefits

• Work on AI-powered ecommerce data analysis in the Bright Insights business unit.
• Collaborate cross-functionally with Product, Data Science, and Design.
• Focus on production reliability with automated evaluations, testing, and observability.
• Optimize for scalability, performance, and cost while improving user experience.