Forward Deployed AI Engineer (Python, LLMs, RAG) Geo Turkey, Croatia, Czech Rep

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview We are looking for an experienced Forward Deployed AI Engineer to design and deliver production-grade AI applications directly with enterprise product and engineering teams. This is a highly hands-on, client-facing role focused on turning complex business requirements into scalable solutions using Python, Large Language Models, RAG, agentic workflows, LangChain / LangGraph, and modern web technologies. You will own the full delivery lifecycle, from discovery and rapid prototyping through production deployment, adoption, and continuous optimization. CONTRACT: Contractor, long-term engagement COMMITMENT: Full-time LOCATIONS: Remote — Turkey, Croatia, Czech Republic, Estonia, Georgia, Poland, or Romania START: ASAP DURATION: 6+ months, with possible extension based on performance NOTES: Fluent English and strong stakeholder communication skills are required. Key Responsibilities - Work directly with business, product, and engineering stakeholders to understand complex requirements and translate them into production-ready AI solutions. - Design and build applications using LLMs, RAG, AI agents, tool/function calling, and structured outputs. - Develop agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies. - Design retrieval architectures using vector search, embeddings, document pipelines, and contextual retrieval techniques. - Build robust backend services and application logic in Python. - Develop user-facing AI applications using React, Next.js, or similar frontend technologies. - Integrate AI applications with enterprise APIs, internal platforms, data systems, and authentication / IAM environments. - Deploy applications using cloud platforms, Docker, and CI/CD pipelines. - Monitor and improve AI application quality, reliability, latency, security, and business performance. - Contribute reusable engineering patterns, components, and implementation best practices across projects. Requirements - 6+ years of professional software engineering experience, with strong production-level Python expertise. - Hands-on experience building LLM-powered applications in production. - Strong experience with LangChain, LangGraph, LlamaIndex, or comparable AI orchestration frameworks. - Strong understanding of Retrieval-Augmented Generation (RAG), vector retrieval, embeddings, and LLM integration patterns. - Experience designing AI agents, agentic workflows, tool/function calling, structured outputs, and automation systems. - Experience with React, Next.js, or similar modern web technologies. - Experience deploying production applications using cloud platforms, Docker, and CI/CD. - Strong understanding of enterprise integrations, secure API design, IAM, and AI / LLM-specific security considerations. - Strong ability to translate business needs into technical architecture and communicate effectively with both technical and non-technical stakeholders.