GR8 Tech - Senior Artificial Intelligence Specialist

• The purpose of this role is to build and operate LLM-based systems used in production. You will develop and integrate Generative AI solutions such as chatbots, AI assistants, MCP-based services, and other LLM-powered components within an existing ML and data platform. The focus is on practical, observable, and reliable systems that support knowledge-driven workflows, AI-assisted interactions, and automation. This is a hands-on engineering role with clear ownership boundaries and guidance from senior engineers. • What you’ll drive: • LLM-based features and conversational systems • Implement and maintain LLM-based features and services under guidance. • Build and improve chatbots and conversational AI systems with predictable behavior. • Contribute to AI-assisted and AI-automated workflows that reduce manual effort. • RAG pipelines, agent workflows, and production integration • Work on RAG pipelines, including document ingestion, embeddings, retrieval, and generation. • Implement parts of agent-style workflows, including tool usage and step orchestration. • Integrate GenAI components with existing backend services and APIs. • System reliability and cross-functional collaboration • Help monitor system behavior, performance, and basic quality metrics. • Participate in debugging issues and supporting systems in production. • Collaborate with Product, ML Engineering, and Backend teams. • Follow team standards for code quality, testing, and documentation. • What makes you a GR8 fit: • Must-have • Solid background in software engineering. • Strong engineering fundamentals, including clean code, testing, and debugging. • Practical experience with Large Language Models, RAG architectures, and embedding-based retrieval. • Experience building chatbots or conversational systems, including tool or function calling and structured LLM outputs. • Familiarity with context or tool-serving patterns such as MCP or similar concepts. • Experience contributing to and supporting production systems. • Basic understanding of performance, latency, and cost considerations. • Experience working with AWS-based cloud infrastructure, including ECS, EKS, Lambda, S3, OpenSearch, and API Gateway. • Experience with Python and basic SQL. • Experience integrating third-party LLM APIs such as OpenAI or Anthropic, and working with Amazon Bedrock. • Experience working with open-source models such as LLaMA, Mistral, Mixtral, Qwen, or similar, and the Hugging Face ecosystem. • Experience with LangChain, LangGraph, Pydantic, and Langfuse. • Experience implementing embeddings and working with vector stores such as Qdrant, FAISS, OpenSearch, or pgvector. • Experience using Docker, Git, and CI/CD pipelines. • Familiarity with evaluation or monitoring of AI systems. • Benefits Cafeteria — annual budget you allocate to: • Sports • Medical • Mental health • Home office • Languages. • Work-life & support • 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 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. • FUELLED BY TRUST • OWN YOUR GAME: we take initiative and own what we do. • OWN YOUR GAME • ACCELER8: we move fast, focus smart, and keep it simple. • ACCELER8 • CHALLENGE ACCEPTED: we grow through challenges and stay curious. • CHALLENGE ACCEPTED • BULLETPROOF: we’re resilient, ready, and always have a plan. • BULLETPROOF