Senior Developer - AI Engineer

Description We're looking for an experienced Senior Software Engineer with experience in building AI based products to join our Bright Insights Business Unit. You'll play a crucial role in building AI-powered features that turn our digital shelf and market share data into actionable insights, working alongside a talented and passionate team. Responsibilities End-to-end feature development for AI-powered analytics on rich datasets, from architecture to production. Mentor teammates and partner with Product, Data Science, and Design to deliver reliable conversational flows. Design secure, low-latency data retrieval and AI integration pipelines (function calling, agentic workflows, etc…) for internal datasets and APIs. Build and scale integrations to data sources - defining schemas, queries, and caching strategies; continuously improve backend components to deliver a top‑notch user experience with efficient resource trade‑offs. Establish quality guardrails, automated tests/evaluations, and observability; optimize for scalability, performance, and cost; run A/B tests. Optimize context engineering and data retrieval strategies - balancing relevance, latency, and token efficiency to deliver accurate AI-powered insights. *Bright Insights offers actionable ecommerce data analysis for retailers, analysts, and investors: https://brightdata.com/products/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 Front-end development in JavaScript and React; experience with data visualization/charting is an advantage Understanding of data retrieval optimizations, caching strategies, and query performance tuning Work experience in a cloud environment, preferably AWS; CI/CD, containers (Docker/Kubernetes), and monitoring/observability Proven track record delivering reliable, low-latency, cost-efficient production systems Solid understanding of SQL and data modeling; familiarity with NoSQL technologies Excellent communication skills in English.