[Hiring] Senior Engineer, AI Systems @Tryzens Global

Role Description

We are looking for an experienced, smart, and energetic person to join our team of talented professionals as a Senior AI Developer. The AI Developer role is a hands-on engineering role within the Tryzens AI Practice and is focused on building AI-augmented delivery capabilities across our core technology platforms.

• Design, build and operate LLM- and agent-based features in production - architecture through deployment, monitoring and iteration - with cost and latency treated as design constraints, not later optimisation.
• Integrate models with our systems and data: APIs, tool calling, multi-step orchestration, retrieval where the task requires grounding in specific data.
• Build the evaluation and observability that make behaviour changes visible before release rather than after: test sets, automated scoring, tracing, per-task cost.
• Design for non-deterministic failure - output validation, fallbacks, degradation paths, human checkpoints where an error cannot be absorbed.
• Work with clients and product owners to turn ambiguous requirements into scoped, testable capabilities, including judging when an LLM is the wrong tool.
• Senior-level software engineering in Python/Typescript, with production ownership: you have deployed, monitored and been accountable for systems in live use.
• You have shipped an LLM or agent system that reached production, was used by people outside your team, and was maintained by you afterwards.
• You have a working method for knowing whether a change to a prompt, model or pipeline improved the system.
• You have worked under data security or compliance constraints, including limits on what may be sent to third-party model providers, and you understand the failure modes specific to LLM systems - prompt injection, data leakage across tenants, unsafe tool invocation.

Qualifications

• Useful, not required:
• Retrieval at scale: hybrid search, reranking, permissioned or fast-changing document sets.
• Agent frameworks, MCP.
• Bedrock / Vertex / Azure OpenAI.
• Asynchronous and long-running systems: queues, idempotency, durable state.
• Client-facing consulting.
• Not required:
• An ML or research background. This is an engineering role: the work is building systems around models, not developing them.
• No specific commerce platform experience.

Benefits

• Competitive remuneration package.
• Flexible working hours.
• Fully remote working policy.
• Food and gift vouchers.
• Additional health insurance.
• Great work-life balance and 25 days annual vacation.
• 1 day Birthday vacation.
• A positive and fun environment.