Senior Agentic AI Engineer (LLM, RAG)

TL;DR

Senior Agentic AI Engineer (LLM, RAG): Embedding intelligent, autonomous AI capabilities into hirify.global’s platform by designing and deploying agentic systems that reason, plan, and act across development and delivery pipelines. Focus on multi-agent workflows, LLM orchestration with RAG and function calling, and building evaluation frameworks for reliable, performance-safe autonomous code generation for embedded BrightScript/TypeScript experiences.

Location: Cambridge, United Kingdom

Company

hirify.global is a TV streaming platform powering experiences across the TV ecosystem.

What you will do

• Design, build, and deploy agentic AI systems that autonomously generate, test, and optimize BrightScript/TypeScript code and UI experiences for the FRAME engine
• Architect multi-agent workflows (planning, tool-use, retrieval, execution, validation) to accelerate development and reduce manual engineering effort
• Develop AI-powered automation that understands embedded C++ constraints and produces performance-safe, memory-efficient outputs
• Build and maintain evaluation frameworks to measure agent reliability, accuracy, and performance in production-critical contexts
• Collaborate with firmware, UI, and product teams to identify high-impact opportunities for AI-driven automation and intelligent tooling
• Mentor engineers on AI-first development practices and human-agent collaboration best practices

Requirements

• Proven experience building agentic AI systems that generate, optimize, and deliver scalable applications in production environments
• Strong software engineering foundation with a track record of shipping reliable, performant systems at scale
• Deep familiarity with modern LLM orchestration, prompt engineering, and AI/ML frameworks
• Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents
• Proficiency in TypeScript (or similar) and Python for agent development, scripting, and pipeline automation
• Ability to apply reliability, testability, and clean architecture principles to non-deterministic AI systems

Culture & Benefits

• Hybrid work approach: office Monday through Thursday; Fridays are flexible for remote work unless the role requires five days in the office
• Global access to mental health and financial wellness support
• Local benefits may include healthcare, life/accident/disability coverage, commuter support, and retirement options (401(k)/pension)
• Time off supported according to local leave policies

Hiring process

• Application review followed by interview steps as communicated by the recruiter
• Technical and role-fit evaluation focused on agentic AI engineering and production reliability