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

Gramian

Remote · cz Contract 5d ago

Job description

# Forward Deployed AI Engineer (Python, LLMs, RAG) Geo Turkey, Croatia, Czech Rep > Gramian Consulting Group · Croatia (Remote) · Contract · Posted 2026-10-31 **Workplace:** remote **Department:** Partnerships ## Description 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. ## Apply [Apply at Gramian Consulting Group](https://apply.workable.com/gramian/j/F47DCD27AE/apply) --- Powered by [Workable](https://www.workable.com)

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