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Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery.
Job Responsibility:
Architect and implement data preprocessing, embedding, and retrieval pipelines for dynamic, context-aware insights in user sessions and product workflows
Build, refine, and optimize retrieval-augmented generation (RAG) systems using top LLMs and retrieval frameworks to deliver relevant, actionable information
Develop and maintain Node.js and Python APIs to efficiently serve AI-driven insights to React-based frontend applications
Collaborate with product managers, designers, and data engineers to conceptualize and iterate on intelligent features boosting user experience and engagement
Prototype, validate, and deploy high-impact features rapidly with tools like OpenAI, Anthropic, and Gemini for fast learning and value delivery
Design automated evaluation frameworks, including model benchmarking, regression testing, and continuous improvement pipelines
Work with DevOps and data teams to deploy and scale AI services in cloud-native environments (e.g., Fly.io, Supabase, Kafka, ClickHouse)
Requirements:
3+ years in software development (backend or full-stack)
Strong proficiency in Node.js or Python for building APIs and integrating with React frontends
Experience architecting data preprocessing, embedding, and retrieval pipelines (RAG systems with LLMs like OpenAI, Anthropic, Gemini)
Hands-on work with multi-agent orchestration (LangChain, CrewAI, AutoGen) and AI tools (Cursor, GitHub Copilot, OpenAI Codex)