GR8_TECH builds B2B iGaming platforms for operators who play to lead.
We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.
With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.
Our ambition drives us. Our people make it real.
If you’re a challenger in spirit and a champion in action — join us.
Why this role exists:
This role exists to design, build, and operate production-grade AI agent infrastructure and services on AWS. The engineer will establish robust agent orchestration, secure tool execution, and reliable runtime controls to support scalable LLM-powered systems.
What you’ll drive:
Agentic AI Platform Engineering
Design, build, and operate production-grade AI agent infrastructure.
Develop agent orchestration, stateful workflows, and durable execution.
Implement reliable agent execution, checkpointing, retries, and failure recovery.
Build MCP-based integrations and secure tool execution.
Develop reusable platform components, APIs, and SDKs.
Production & Reliability
Design scalable, fault-tolerant AI services on AWS.
Implement LLM gateways, model routing, fallbacks, and cost controls.
Build observability, tracing, and evaluation for agentic workflows.
Optimize performance, latency, scalability, and infrastructure costs.
Own technical solutions from architecture to production support.
Security & Governance
Implement authentication, authorization, and access controls for agents and tools.
Integrate human-in-the-loop approvals and execution safeguards.
Establish engineering standards for secure and reliable AI systems.
What makes you a GR8 fit:
Must-have
5+ years of software engineering experience with strong Python backend expertise.
Proven experience building and operating LLM-powered systems in production.
Hands-on experience with agent orchestration frameworks (LangGraph, or similar).
Practical experience with LLM APIs, tool/function calling, and agentic workflows.
Strong understanding of distributed systems, asynchronous processing, and fault tolerance.
Experience with Python type safety, data validation, and schema management (Pydantic or equivalent).
Experience with cloud infrastructure (preferably AWS), Docker, and CI/CD.
Understanding of API security, authentication, and authorization.
Strong engineering fundamentals: system design, testing, debugging, and observability.
Ability to independently design, implement, and operate complex technical components.
Nice-to-have
Production experience with LangGraph and LangChain.
Experience with MCP servers, clients, gateways, and tool integration infrastructure.
Durable workflows, checkpointing, and distributed state management.
LLM gateways, model routing, caching, and inference optimization.
Agent evaluation, tracing, and observability (MLFlow, Langfuse, OpenTelemetry).
Kubernetes (EKS), event-driven architectures, and platform engineering.
Agent security, sandboxing, and human-in-the-loop workflows.
RAG architectures and vector databases.
Tech Stack
Languages: Python, SQL
AI & Agents: LangGraph, LangChain, Pydantic, MCP
LLMs: Amazon Bedrock, Anthropic, OpenAI
Observability: Langfuse, OpenTelemetry, CloudWatch
Cloud: AWS (EKS, Lambda, S3, SQS, IAM)
Infrastructure: Docker, Kubernetes, GitLab CI/CD
Integrations: REST APIs, OAuth 2.0, event-driven systems
Why you’ll love working here:
Benefits Cafeteria — annual budget you allocate to:
Sports • Medical • Mental health • Home office • Languages.
Work-life & support
Paid maternity/paternity leave + monthly childcare allowance.
20+ vacation days, unlimited sick leave, emergency time off.
Remote-first + tech support + coworking compensation.
Team
