Responsibilities

Business-level English proficiency (written and verbal) is required
As a Senior Full-Stack AI Engineer to help build and evolve the AI systems that power a leading gaming client's player support platform. This role sits at the center of two connected products: an AI assistant used directly by players, and an AI copilot used by the support agents who help them. You'll work across the full stack — from LLM orchestration and agentic workflow design on the backend to the React applications and admin tooling that let the team configure, monitor, and improve these systems in production.
This is a hands-on engineering role for someone who has already shipped and operated production AI systems, not just prototyped them. You'll design conversation flows that handle ambiguous intent, tool use, retrieval, and escalation to a human; evaluate and tune models across multiple providers; and build the observability and resilience that keep these systems reliable at scale. Day-to-day, you'll work primarily in TypeScript across a Node.js backend and React frontend, using state machines to model complex conversational workflows and integrating with large language model providers such as OpenAI, Anthropic, and Gemini.
AI Platform & Agent Systems
Design and extend production-grade LLM applications and agentic workflows, including RAG, intent detection, clarification, fulfillment, escalation, and human-in-the-loop flows
Build and maintain the underlying conversation engine, including flow validation, configuration tooling, and the admin experience used to manage it
Integrate tool-use and agentic protocols to extend what the AI assistant and copilot can do
Evaluate, benchmark, and tune models across multiple providers, owning model selection decisions that balance quality, latency, throughput, reliability, and cost
Troubleshoot production AI issues such as hallucinations, retrieval failures, prompt regressions, model drift, and provider outages
Build resilience mechanisms including retries, fallback routing, caching, streaming, and rate limiting
Instrument and tune model quality using tracing, evaluation datasets, A/B testing, and prompt versioning
Frontend & Admin Tooling

Qualification

Strong TypeScript/NodeHands-on production AI experienceSolid understanding of REST API designA strong testing cultureExperience building AI copilotsEqual Opportunity EmployerAt TELUS Digital

Required

Proven experience building and operating production LLM-powered systems — chatbots, AI assistants, agent copilots, RAG systems, or LLM orchestration platforms
Strong TypeScript/Node.js engineering skills, with fluency in strict-mode TypeScript
Hands-on production AI experience: prompt engineering, RAG pipelines, agent design, tool calling, model evaluation, observability, and failure-mode analysis
Full-stack depth — comfortable moving between backend APIs, React UIs, databases, infrastructure, and production operations
Ability to evaluate tradeoffs between model quality, latency, reliability, throughput, and cost
Ability to troubleshoot AI systems across prompts, retrieval pipelines, model configuration, infrastructure, and application code
Experience modeling complex asynchronous workflows (state machine experience is a strong signal)
Solid understanding of REST API design, asynchronous patterns, and caching strategies
A strong testing culture, with unit, integration, and contract tests treated as first-class deliverables
Experience working in a monorepo with multiple interconnected services

Preferred

Experience with agentic tool-use protocols (e.g., MCP), semantic search/retrieval architectures, or AI gateways
Familiarity with LLM observability and evaluation platforms, and experience evaluating multiple foundation models or providers at scale
Experience building AI copilots, assistants, or other conversational products, especially under low-latency or streaming constraints
Hands-on experience with NestJS specifically
Background in customer support or player support platforms, gaming, or high-volume consumer products
Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.

Senior Gen AI Engineer (Games)- Bulgaria at Telus Digital · LumiJobs

Senior Gen AI Engineer (Games)- Bulgaria

Responsibilities

Qualification

Required

Preferred

Company

Telus Digital

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