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

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SeniorZdalnieFull-time

#472222·Dodano 4 dni temu·5

Źródło: Gramian Consulting Group

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Tech Stack / Keywords

Python LLMsRAGLangChain LangGraphLlamaIndexReact Next.js Docker CI/CD

Podsumowanie oferty

Design and deliver production-grade AI applications with enterprise product and engineering teams, taking solutions from discovery and prototyping through deployment and optimization. Build with Python, LLMs, RAG, and agentic workflows using LangChain or LangGraph.

Wymagania

6+ years of professional software engineering experience, with strong production-level Python expertise.
Hands-on experience building production LLM-powered applications.
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.
Ability to translate business needs into technical architecture and communicate effectively with technical and non-technical stakeholders.
Fluent English and strong stakeholder communication skills.

Obowiązki

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 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.

Inne informacje

Remote work is available to candidates in Turkey, Croatia, the Czech Republic, Estonia, Georgia, Poland, or Romania.
The expected start is ASAP.
The engagement is for 6+ months, with a possible extension based on performance.

Gramian Consulting Group

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