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Data Scientist (NLP / Prompt Engineering)
Build and refine enterprise-grade AI agents for document processing and automation using NLP, prompt engineering, and RAG pipelines.
Senior Java Developer with AI @ Xebia sp. z o.o.
Build and maintain Java-based backend services while integrating AI features and agent workflows using modern frameworks like LangGraph or MCP.
AI Software Engineer
Build and deploy enterprise-ready AI agents and cloud-native workflows, integrating LLM APIs and orchestration frameworks to automate complex business processes for clients.
AI Engineer
Design and deploy LLM-powered features, build RAG pipelines, and implement agentic workflows using Python and Azure, focusing on evaluation and integration with minimal supervision.
AI Engineer (Up to 12k)
Build and improve AI-powered intent tools using LLM frameworks, vector databases, and microservices to automate knowledge base creation and quality control for chatbots.
Hands-on AI/ML Engineer: Build Multi-Agent Pipelines
Build and deploy multi-agent AI pipelines using LangGraph/LangChain, integrating AWS services and OCR tools to turn designs into working agentic workflows.
Senior Full Stack AI Engineer
Senior engineer building AI features end-to-end—from prototype to production—across full stack, AI layers, and healthcare domain, using agentic tools like Claude Code and modern frameworks.
Senior AI Engineer
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
Senior AI Software Engineer – Agentic Frameworks & LLMs
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Lead Backend & Data Engineer – AI Platform
Lead the backend and data engineering behind a next-gen RAG system, building scalable Apache Beam pipelines, Google Cloud Spanner graph queries, and FastAPI/Temporal services to power deterministic LLM agents.
Staff Data Scientist (Fraud & Risk)
Staff Data Scientist (IC) at a fintech building classical ML and GenAI/Agentic AI models for global fraud detection and risk mitigation, working with Python, Databricks on AWS/GCP, Snowflake/BigQuery, and feature stores like Tecton to tackle imbalanced data and production model drift.
Head of Machine Learning, Ongoing Monitoring
Leads a team to build and scale AI-driven fraud detection and risk management systems for a fast-growing fintech serving SMEs in the UK and India.
Fullstack Software Engineer
Build and improve an AI-powered healthcare platform in C#/TypeScript and React, deploying on GCP to speed up NHS autism and ADHD assessments for children.
Backend Engineer (Python/FastAPI + AI Automation)
Builds Python/FastAPI backends and AI-driven automation pipelines, integrating LLMs and orchestration tools while developing ERP modules and data pipelines.
AI & Data Engineer: Autonomous Agents & RAG Architect
Design and build autonomous AI agents and multi-agent systems that automate business processes using RAG architectures with vector databases and external APIs.
Senior Data Engineer: Cloud Pipelines & ML
Build and maintain cloud data pipelines and ML solutions using Python, SQL, and dbt on Google Cloud, AWS, and Azure.
Backend Developer (LangChain / LangGraph) – Remote
Build AI agents and optimize backend systems using LangChain/LangGraph for an international IT consultancy.
Senior AI Engineer
Build and deploy production-grade AI systems for UK clients, focusing on LLM-powered apps, RAG pipelines, and autonomous workflows using Python, cloud AI services, and MLOps.
Principal AI Engineer
Principal AI Engineer builds and deploys AI systems for an education-tech suite, integrating LLMs, RAG, and agentic frameworks to power admissions assistants and internal tools while leading AI adoption across teams.
(AI) Solutions Architect
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines.