Senior Developer - AI Engineer at Bright Data

Netanya, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

20 Sep, 26

Salary

0.0

Posted On

22 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, .NET C#, Java, LLM, Prompt Engineering, RAG, Vector Databases, API Development, Microservices, JavaScript, React, AWS, Docker, Kubernetes, SQL, Data Modeling

Industry

Software Development

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.

Responsibilities

Develop end-to-end AI-powered analytics features and secure data retrieval pipelines for internal datasets. Mentor teammates and collaborate with cross-functional teams to optimize context engineering and system scalability.