Software Engineer (Agentic AI)

Location: Manchester, United Kingdom. Hybrid working is expected, with office attendance generally required Monday through Thursday and Fridays generally flexible for remote work; some roles may require five days per week in the office.

Company

hirify.global is a public TV streaming platform company developing technology that connects viewers, content publishers, advertisers, and the wider television ecosystem.

What you will do

• Architect, develop, deploy, and maintain AI agents and copilots for hirify.global TV use cases, integrating them with internal systems, tools, and services.
• Own the full agent lifecycle from prototyping and model selection through prompt and context design, orchestration, deployment, observability, and continuous improvement.
• Build single-agent and multi-agent workflows, including handoffs, delegation, cooperative execution, tool calling, function calling, and MCP-style integrations.
• Develop scalable RAG and context pipelines, reusable agent templates, modular components, and paved-path patterns for adoption across teams.
• Establish evaluation, monitoring, testing, controlled rollout, and drift-detection practices covering quality, task success, latency, cost, reliability, and production performance.
• Collaborate with engineering, product, QA, infrastructure, and cross-functional teams to deliver business and customer outcomes.

Requirements

• Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field.
• 2–5 years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems.
• Strong proficiency in Python and experience with C/C++ or another systems language.
• Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns.
• Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling architectures, and conversational interfaces.
• Familiarity with cloud platforms, REST APIs, containerization, and modern deployment environments.
• Experience with observability, evaluation, experimentation, and feedback loops for AI systems in production.
• Ability to work independently, manage ambiguity, move quickly, and deliver incrementally in a fast-paced environment.
• Excellent communication skills, sound engineering judgment, and a collaborative working style.

Nice to have

• Experience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel.
• Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter.
• Familiarity with ML/DL frameworks such as PyTorch or TensorFlow.
• Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems.

Culture & Benefits

• Fast-paced, collaborative environment focused on practical problem-solving, building, and delivering solutions to customers.
• Hybrid work model with office collaboration generally Monday through Thursday and flexible Fridays where the role permits.
• Global mental health and financial wellness support.
• Local statutory and voluntary benefits may include healthcare, life, accident, disability, commuter, and retirement options such as a pension.
• Time off is provided in accordance with local leave policies and personal needs.
• Reasonable accommodations and adjustments are available in accordance with applicable law.

Hiring process

• Applicants can request reasonable accommodations or adjustments at any stage of the hiring process.