Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow

Project Overview:

We are looking to hire a Senior AI Engineer to support the development of AI-driven solutions in Global Digital Marketing team of a Leading Agricultural Company. The engineers will work on projects involving generative AI, intelligent agents, and process automation, integrating with large-scale enterprise systems. The current goals are to create two LLM agents, that are responsible for producing marketing Campaigns materials – campaign information, images, presentations, slogans, etc.

Requirements:

• Proven experience in developing and deploying generative AI or LLM-based applications;
• Strong prompt proficiency with LLMs such as OpenAI, Azure OpenAI, Claude, or LLaMA;
• Hands-on experience with LangChain, LangGraph. Other frameworks are also valued;
• Solid understanding of semantic search, RAG pipelines, and vector embeddings;
• AWS experience with ECR, ECS/Fargate and dockerization;
• Design/Deploy MCP servers;
• English: B2 level (ability to read and write technical documentation and attend meetings with stakeholders);

- Will be a plus:

• Experience with n8n, Semantic Kernel, Copilot Studio;
• Previous experience with digital marketing life cycle;
• SQL proficiency;
• Expertise using Claude Code, GitHub copilot and similar tools as part of their daily tooling, working routines.

Responsibilities:

• Design and develop scalable LLM-based intelligent agents;
• Contextualization of the company data;
• Implement Retrieval-Augmented Generation (RAG) systems;
• Integrate LLMs with varius different data sources;
• Leverage tools like LangChain, LangGraph, Semantic Kernel, and Copilot Studio to build semantic workflows;
• Automate internal processes using n8n;
• Collaborate with cross-functional teams including DevOps, backend, and business stakeholders;
• Contribute to best practices for AI deployment, prompt engineering, and model evaluation.

Why this position:

You will be part of great goal-oriented team. The opportunities to Act as ML Engineer gives an excellent experience and possibility to push your career growth.