Forward Deployed AI Engineer (Python, LLMs, RAG) Geo Turkey, Croatia, Czech Rep
Gramian Consulting Group
·- Location
- Croatia · published · Georgia · Poland · Romania · Turkey · Czechia
- Workplace
- Remote
- Type
- Contract
- Department
- Human Resources
- Source
- Workable
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.