Forward Deployed AI Engineer (Python, LLMs, RAG) Geo Turkey, Croatia, Czech Rep
About The Position
Gramian Consultancy is seeking an experienced Forward Deployed AI Engineer to design and deliver production-grade AI applications alongside enterprise product and engineering teams. This hands-on, client-facing role turns complex business requirements into scalable solutions using Python, Large Language Models, Retrieval-Augmented Generation (RAG), agentic workflows, AI orchestration frameworks, and modern web technologies. The engineer owns the delivery lifecycle, from discovery and rapid prototyping through production deployment, adoption, and continuous optimization. The role is a long-term contractor engagement with a full-time commitment, remote from Turkey, Croatia, Czech Republic, Estonia, Georgia, Poland, or Romania. The engagement is expected to last at least six months, with possible extension based on performance, and the start is ASAP. Fluent English and strong stakeholder communication skills are required.
Requirements
- At least 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 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.
- Ability to translate business needs into technical architecture and communicate effectively with technical and non-technical stakeholders.
- Fluent English and strong stakeholder communication skills.
Responsibilities
- Work 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 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
