Forward Deployed AI Engineer (Python, LLMs, RAG) Geo Turkey, Croatia, Czech Rep
At a glance
Mid-level Solutions & Sales Engineering role at Gramian Consulting Group. Remote, Croatia · contract.
Pay not stated Solutions & Sales Engineering salary
growthroles summary, based on the employer's posting.
What you'll do
- Turn requirements from business, product and engineering teams into production-ready AI applications
- Build Python services and user-facing apps using LLMs, retrieval, agents and modern web technologies
- Set up retrieval systems with vector search, embeddings and document pipelines
- Connect applications to enterprise APIs, internal platforms, data systems and identity systems
- Deploy and monitor applications, then improve their quality, reliability, speed, security and business results
What you bring
- At least six years in software engineering, including strong production-level Python work
- You have shipped LLM-powered applications and worked with an orchestration framework such as LangChain or LangGraph
- You understand RAG, vector retrieval, embeddings, agents and LLM integration patterns
- You have deployed production software with cloud platforms, Docker and CI/CD, and built with React or comparable tools
- You can shape business needs into technical designs and communicate clearly with technical and non-technical stakeholders
Who this fits
This suits a hands-on, client-facing engineer who works directly with enterprise product and engineering teams. It is a full-time, long-term contractor engagement, initially lasting at least six months, with possible extension based on performance. You can work remotely from Turkey, Croatia or another listed country, and fluent English is required
From the employer
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.
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