Senior Developer – AI Engineer

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Brightidea

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

☁️ SaaS

⚡ Productivity

🏢 Enterprise

SaaS • Productivity • Enterprise

Brightidea is a leading software company that specializes in Idea and Innovation management, providing a platform for organizations to capture, share, and evaluate employee ideas. Their software supports activities such as crowdsourcing challenges and hackathons, enabling companies to drive open innovation and manage a portfolio of initiatives effectively. Brightidea's tools help organizations scale their innovation efforts, ultimately generating substantial financial impacts and fostering a culture of continuous improvement and collaboration.

📋 Description

• 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.

🎯 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.