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Principal Attack Engineer, AI/LLM
Principal-level offensive security engineer who defines Horizon3's long-term AI/LLM attack strategy, turning research on breaking LLM and agentic systems into autonomous attack capabilities inside the NodeZero pentesting platform. Day to day: company-wide technical leadership, prompt-injection/agentic attack research, LLM system architecture, and mentoring senior engineers.
Freelance Data Science Engineer (Python & SQL)
Freelance, project-based role at Mindrift: design and verify original computational data science problems (Python with pandas/numpy/scikit-learn, plus SQL) that simulate real-world business workflows to support GenAI model training. Estimated 10-20 hours/week during active project phases, paid up to $55/hour.
Working Student AI Engineer – LLMs, RAG & AI Agents
Part-time working-student role building production generative-AI components for client projects: Python services connecting LLMs to enterprise data, RAG pipelines (document ingestion, embeddings, retrieval) and agent steps with tool calls, testing and deployment. Employer AgentixLake GmbH, a Data & AI engineering consultancy.
Sr. DevOps Engineer
Senior DevOps Engineer owning Floward's e-commerce and data platform on AWS (with some GCP): leading the move to Terraform-managed, GitOps-driven infrastructure, running EKS, GitHub Actions CI/CD and observability stacks, while using AI tools daily and supporting LLM workloads in production. Onsite in Kuala Lumpur.
AI Agent Engineer
Builds Binance's enterprise-grade conversational AI agent platform for use cases like AI search, token insight chat, and trading assistant Q&A — working on multi-turn dialogue, memory, tool/function calling, RAG, and orchestration. Requires 2+ years backend experience in Java or Python plus hands-on LLM application deployment.
Extracurricular Internship – DevOps & GenAI Engineer for Quality (f/m/div.)
Internship at Bosch in Braga, Portugal: build GenAI/Agentic AI agents that support Quality Engineering workflows — requirements analysis, test interpretation, failure analysis. Core stack: Python, LLMs, embeddings, vector databases, RAG pipelines, and agent frameworks like LangChain, LlamaIndex, and CrewAI.
AI Engineer
AI Engineer at NTT DATA's Romania Excellence Centre in Bucharest, building LLM-powered multi-agent systems for a digital banking client. Day-to-day: designing agentic workflows, orchestration, RAG pipelines, and evaluation suites with Python, Google ADK/LangGraph, vector databases, and cloud platforms.
LLM Applied Data Scientist (RAG/ NLP)
Applied data scientist at Binance building and optimizing RAG and retrieval/ranking pipelines (embeddings, reranking, query rewriting, GraphRAG) for LLM-powered products like customer service and token reports, and participating in LLM training (SFT, reinforcement learning) and NLP/multimodal content analysis. Core stack: Python/C++, PyTorch, vector databases.
DevOps Engineer
Senior DevOps Engineer building and owning the AWS infrastructure for a client's Data and AI platform: developer self-service, Terraform/Pulumi IaC, CI/CD pipelines, EKS/ECS container workloads, networking, security, observability and database tuning. 100% remote from anywhere in LATAM, working mainly EST hours.
Staff Machine Learning Engineer, Compliance Automation (Platform)
Staff ML engineer on Coinbase's Compliance Automation team building production Agentic AI (LLM-powered agents, orchestration pipelines, evaluation frameworks) that automate compliance workflows like investigations and decision support. Core stack: Python, LLM/RAG tooling, LangChain, Airflow, Spark. Remote-first USA role with quarterly in-person surges.
Data Engineer
Designs and maintains data pipelines, warehouses, and analytics platforms for clients in the US and Europe, working with Python, SQL, dbt, Airflow, and cloud warehouses like Snowflake or BigQuery. Remote role based in Europe.
AI Engineer
AI Engineer on a FinTech project: design, develop, and deploy production GenAI applications in Python — LLMs, RAG pipelines, and agent orchestration with LangChain/LangGraph — integrated into enterprise systems, following MLOps, testing, and security best practices. Remote, B2B at 160–180 PLN/h net.
Lead / Principal AI Engineer
Hands-on Lead/Principal AI Engineer at AKQA's London studio (part of WPP), designing and building production-grade generative AI and agentic systems — RAG, multi-agent orchestration, MCP integrations — for major brands. Core stack: Python/TypeScript/Node.js, cloud AI platforms (Azure OpenAI, Bedrock, Vertex AI) and evaluation/observability tooling, in a hybrid role with required in-office days.
Forward Deployed Engineer, Generative AI, Geo
Embedded engineer on Google's Geo/Maps Platform who deploys generative-AI systems at major partners' sites: building agentic workflows, RAG pipelines, and evaluation/observability tooling, while feeding field insights back into the product roadmap. Core stack is Python, LLM/agent frameworks, and vector databases.
Enterprise Architect (k/m)
Enterprise Architect at ORLEN S.A. in Gdańsk: designs end-to-end enterprise architecture (backend → AI layer → mobile and campaign apps), sets technology governance, and builds AI proof-of-concepts. Core stack includes GCP/AWS/Azure (Vertex AI, BigQuery), Kafka/RabbitMQ streaming, Data Lakehouse/vector DBs, and TOGAF/ArchiMate/UML.