06/05/2026 updated
100 % available
Senior AI Engineer | RAG Pipelines | Agentic Systems | LLM Infrastructure
Beltinci, Slovenia
Worldwide
M.S. in Computer and Information Science, University of LjubljanaAbout me
Senior AI Engineer with 10+ years of software engineering experience. Specialized in AI agents, RAG systems, LLM infrastructure, AWS, GCP, Python, FastAPI, React, and cloud architectures. Experienced in building production-grade AI applications, automation platforms, and financial AI solutions.
Artificial Intelligence Markup Language (AIML)
Agentic AI Systems & RAG Pipelines
Expertise in designing and building production-grade agentic systems using LangGraph, LangChain, and RAG pipelines with LlamaIndex and vector search (Qdrant) for financial and data-intensive use cases.
LLM Fine-Tuning & Inference
Hands-on experience fine-tuning reranker and generative models (Qwen) using Unsloth and HuggingFace, evaluating adapter-based models, and deploying GPU inference with vLLM for optimized throughput and latency.
Backend Development & API Engineering
Proficiency in building scalable backend systems with Python, FastAPI, and Node.js, including deployment on Docker, GCP Cloud Run, and AWS for high-availability production environments.
Vector Search & Reranking
Experience with vector search technologies such as Qdrant and reranking models for domain-specific retrieval and ranking tasks in financial AI applications.
Observability & Evaluation
Utilization of Langfuse and DeepEval for RAG and end-to-end testing, ensuring quality and reliability of AI pipelines in production.
Cloud Infrastructure & DevOps
Deployment and management of cloud infrastructure using Docker, GCP Cloud Run, AWS, Supabase, and Runpod for scalable and cost-efficient AI and backend systems.
Frontend & Full-Stack Development
Development of scalable frontend applications using React, GraphQL, TypeScript, and Jotai, supporting complex operational and booking workflows.
Data Engineering & Pipelines
Design and implementation of data pipelines and PostgreSQL-backed systems for real-time analytics, logistics, and AI-driven recommendation workflows.
Multi-Agent Orchestration
Building multi-agent systems with classification, routing, tool-calling, and feedback loops for equity research, analysis, and financial AI workflows.
Expertise in designing and building production-grade agentic systems using LangGraph, LangChain, and RAG pipelines with LlamaIndex and vector search (Qdrant) for financial and data-intensive use cases.
LLM Fine-Tuning & Inference
Hands-on experience fine-tuning reranker and generative models (Qwen) using Unsloth and HuggingFace, evaluating adapter-based models, and deploying GPU inference with vLLM for optimized throughput and latency.
Backend Development & API Engineering
Proficiency in building scalable backend systems with Python, FastAPI, and Node.js, including deployment on Docker, GCP Cloud Run, and AWS for high-availability production environments.
Vector Search & Reranking
Experience with vector search technologies such as Qdrant and reranking models for domain-specific retrieval and ranking tasks in financial AI applications.
Observability & Evaluation
Utilization of Langfuse and DeepEval for RAG and end-to-end testing, ensuring quality and reliability of AI pipelines in production.
Cloud Infrastructure & DevOps
Deployment and management of cloud infrastructure using Docker, GCP Cloud Run, AWS, Supabase, and Runpod for scalable and cost-efficient AI and backend systems.
Frontend & Full-Stack Development
Development of scalable frontend applications using React, GraphQL, TypeScript, and Jotai, supporting complex operational and booking workflows.
Data Engineering & Pipelines
Design and implementation of data pipelines and PostgreSQL-backed systems for real-time analytics, logistics, and AI-driven recommendation workflows.
Multi-Agent Orchestration
Building multi-agent systems with classification, routing, tool-calling, and feedback loops for equity research, analysis, and financial AI workflows.
Experience
Professional experience10+ years
Freelancer since2017
Languages
GermanGoodEnglishFluentSerbianFluentSlovenianNative speaker
Project history
Designing and building production-grade AI systems across RAG, agent orchestration, and LLM inference. Developing financial AI tooling including multi-agent equity research and analysis workflows. Implementing fine-tuning, evaluation, and deployment pipelines for domain-specific models.
Built multi-agent equity analysis system spanning fundamental, technical, sentiment, and valuation workflows. Designed LangGraph-based orchestration with classification, routing, tool-calling, and feedback loops. Implemented RAG pipeline for structured financial retrieval using LlamaIndex and vector search (Qdrant). Integrated market and macro APIs; deployed backend with FastAPI, Docker, and GCP Cloud Run.
Fine-tuned reranker models for finance-specific retrieval and ranking tasks. Built generative fine-tuning workflow for Qwen using Unsloth and HuggingFace. Evaluated adapter-based models for inference quality, cost, and serving efficiency. Deployed GPU inference with vLLM, optimizing throughput and latency.