Senior Developer - AI Engineer
Posted on Jun 22, 2026
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.