[Hiring] Senior Artificial Intelligence Specialist @GR8_TECH

Role Description

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.

Qualifications

• 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.

Requirements

• 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

Benefits

• Benefits Cafeteria — annual budget you allocate to:
  • Sports
  • Medical
  • Mental health
  • Home office
  • Languages
• Paid maternity/paternity leave + monthly childcare allowance.
• 20+ vacation days, unlimited sick leave, emergency time off.
• Remote-first + tech support + coworking compensation.
• Team events (online/offline/offsite).
• Learning culture with internal courses + growth programs.

Our culture & core values

GR8_TECH culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.

• FUELLED BY TRUST: we’re open, honest, and have each other’s backs.
• OWN YOUR GAME: we take initiative and own what we do.
• ACCELER8: we move fast, focus smart, and keep it simple.
• CHALLENGE ACCEPTED: we grow through challenges and stay curious.
• BULLETPROOF: we’re resilient, ready, and always have a plan.