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Artificial Intelligence Architect
Role Overview We are seeking an accomplished AI Architect with 15+ years of technology experience to define and deliver enterprise-scale AI solutions spanning machine learning, Generative AI, Agentic AI, engineering…
Fundable - Senior Data Engineer
About Fundable Fundable is a startup data platform that helps investors and other teams discover and research companies. We bring together information on companies, investors, funding activity, and people to make that…
Data Scientist
Role & responsibilities Key Responsibilities Lead the end-to-end delivery of AI/ML and LLM-based solutions: problem framing, data exploration, feature engineering, model development, evaluation, deployment, and…
Principal Backend Engineer (Forward Deployed)
Leads AI-powered client solutions end-to-end, from discovery through deployment, serving as both engineer and technical consultant. Works with Python, LLM frameworks (LangChain, Hugging Face), FastAPI, Kubernetes, and cloud platforms to build scalable systems from messy data and ambiguous workflows.
Staff Software Engineer (Forward Deployed)
Staff Software Engineer (Forward Deployed) leads AI-driven solutions, working directly with clients to reshape critical workflows. This hybrid role combines AI engineering, software building, and technical consulting.
Senior Software Engineer (Forward Deployed)
Build and deploy AI-powered workflows for enterprise clients, integrating LLMs, retrieval systems, and automation tools while collaborating with stakeholders to solve messy real-world data problems.
Field Application Engineer (Integrated Photonics)
Field Application Engineer working at the intersection of integrated photonics and scientific AI: partnering with customer photonics teams to architect AI-assisted workflows for PIC design, simulation, tapeout, and yield analysis on the Axiomatic Intelligence platform. Core tools include PIC EDA software (COMSOL, Ansys, RSoft, Cadence, Synopsys, Luceda) plus Python.

Expert Data Engineer
Data engineer (hired via DCG, a recruitment/staffing firm, for a client project) designing, building, and optimizing data pipelines and detection/scoring logic for Capital Markets AML financial-crime scenarios. Core stack: Python, Java/Scala, Apache Spark (PySpark), SQL, Quantexa, and on-premise distributed clusters with Bamboo/Jenkins CI/CD.
T Hub - Camunda DevOps Engineer
Automate business processes as a Camunda engineer in Poland: analyze and coordinate BPMN 2.0 process models, implement and maintain workflow automation with Camunda, and develop Python-based workers and microservices. Requires SQL, German and English skills; microservice and workflow-orchestration experience is a plus.
Python/Scala Developer for Transaction Monitoring
Builds data pipelines and detection logic (rules, scoring) for capital-markets AML transaction monitoring at a banking-sector client, contributing to a greenfield architecture. Day to day involves Python/Scala, Apache Spark (PySpark), SQL and CI/CD tooling on a B2B, hybrid contract via Optiveum.
Aws Data Engineer
3 to 5 years of hands-on experience in Data Engineering. Strong experience in designing and developing ETL/ELT pipelines. Proficiency in SQL and Python programming. Hands-on experience with AWS services, including:…
AI & Machine Learning Engineer
Designs, builds, deploys, and maintains AI/ML and generative-AI solutions (classification, forecasting, NLP, LLM/RAG apps) for a finance company, covering data pipelines, MLOps deployment and monitoring, user support, and AI governance/compliance. Core stack: Python, SQL, scikit-learn/PyTorch/TensorFlow, LLMs, REST APIs, and cloud AI platforms.
