Senior AI Engineer (Agentic Systems & LLM Architecture) at Munich Ventures

Yerevan, , Armenia -

Full Time

Start Date

Immediate

Expiry Date

17 Oct, 26

Salary

0.0

Posted On

19 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLM Architecture, Agentic Systems, AWS Bedrock, Vector Databases, Knowledge Graphs, Data Engineering, Prompt Engineering, Multi-agent Systems, Python, Data Science, System Architecture, API Integration, Fine-tuning LLMs, Event-driven Architecture, Retrieval Augmented Generation, SaaS Development

Industry

IT Services and IT Consulting

Description

Welcome to Munich Ventures, a venture catalyst that supports startups in building digital products at every stage. It invests in startups, builds tech teams, and manages everything from initial development to scaling and expanding existing teams. Munich Ventures is looking for a Senior AI Engineer for one of its biggest projects - MiceDesk, who will own and scale the entire agentic intelligence layer of our platform. About MiceDesk MiceDesk is building the first agentic operating system for the global hospitality industry an industry representing 5% of the worlds GDP and still running on legacy, manual processes. MiceDesk is not building another SaaS tool. We are building the Palantir of Hospitality a vertically integrated AI platform that automates MICE & Group Sales, centralizes operational knowledge, and powers intelligent decision-making across hotels, clusters, and global brands. The stack combines LLM-driven agents, high-density data pipelines, structured knowledge graphs, and real-time process automation inside a modern enterprise SaaS product. About the Role As a Senior AI Engineer, you will be responsible for: Phase 1: Transform our product into a fully agentic system Redesign Rocket (MiceDesks core product) into a multi-agent architecture with autonomous decision-making and workflow execution. Build agents that automate all major MICE processes: availability checks, pricing logic, offer creation, approvals, contracting, follow-ups, and post-booking operations. Implement robust LLM pipelines using: - AWS Bedrock - Local & fine-tuned LLMs - Vector DBs & embedding strategy - Knowledge Models (Hotel Specific Knowledge HSN) Create deterministic, reliable agent behaviors in a complex operational environment. Phase 2 Build Hospitality's Largest AI Data Platform Architect and scale the global hospitality data lake, unifying PMS, CRM, RFP, event, and operational datasets. Create a canonical data model that scales from single properties clusters global chains. Build the intelligence layer powering: - Predictive demand - Revenue optimization - Process automation - Profile graph models - Operational insight engines What Were Looking For Deep AI Engineering Expertise Strong experience with LLM systems, agentic architectures, and advanced prompting & reasoning frameworks Hands-on with: AWS Bedrock, OpenAI, Anthropic, Local LLMs (Llama, Mistral, Qwen), Vector databases and retrieval architectures Solid background in: Data Engineering, Data Science, Knowledge graphs, Event-driven and scalable backends, Architecture-Level Thinking, Ability to design complex, production-grade multi-agent systems that are: reliable, auditable, explainable, fast and scalable. Startup DNA - Strong bias for execution - Thrives in 01 environments - Ambitious, fast, and comfortable with ownership - Motivated by the AI wave (20242027) and ready to build a unicorn - Wants to shape a massive, under-digitized industry with real global impact Bonus - Experience with enterprise integrations or workflow automation - Background in operationally complex industries (logistics, travel, machines, marketplaces) - Experience building copilots or agent-based automation tools. What You Will Actually Do Build autonomous multi-agent workflows inside Rocket Own the full LLM engineering stack, Design the loop between PMS data Data Lake Agents UI, Develop fine-tuned models for extraction, reasoning, pricing, and anomaly detection, Drive architectural decisions with founders and engineers, Shape the intelligence layer that will scale across thousands of hotels. Why Join MiceDesk Build the intelligence core of a 5% of global GDP industry, Work on true agentic systems, not chatbots, Fast-paced execution with real product and real users, Massive ownership and product influence, Opportunity to build the next AI unicorn, Join a team with deep expertise in both hospitality and AI.

Responsibilities

The role involves redesigning the core product into a multi-agent architecture to automate MICE and group sales processes. Additionally, the engineer will architect a global hospitality data lake to power predictive demand and revenue optimization.