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Velastegui Ventures is hiring a senior backend engineer to design, build, and operate the backend of its enterprise AI knowledge and natural-language query platform — ingestion, retrieval, and inference — currently on SQS/Ray-Serve/AWS Bedrock and moving toward Kafka and self-hosted LLM serving. Remote within the U.S.
Senior engineers build autonomous AI agents (LangGraph, CrewAI, AutoGen, DSPy) that modernize ECI's legacy ERP platform into an AI-driven system — building agents, eval/guardrail frameworks, and automating legacy workflows. Stack: Python, SQL, TypeScript, OpenAI/Anthropic, pgvector/Qdrant, Docker, Airflow.
Designs, develops, and maintains AI-based services (LLM apps with RAG, tool calling, agentic systems) in Java/Spring Boot for a leading Italian cloud, data-center, and digital services company recruited via Adecco, supporting business teams in integrating these services into scalable architectures.
Hanab seeks a Data Engineer to run its central database and AI-ready data pipelines, connecting source systems like SharePoint and MS Project to a RAG infrastructure while tracking data quality as a KPI. Core stack: PostgreSQL, vector databases (Qdrant), embedding and chunking pipelines, with strong Python and Microsoft 365 integration skills.
Jij legt het fundament waarop elke AI-toepassing binnen Hanab staat of valt. Wij zijn Hanab, een nieuw merk met 160 jaar geschiedenis. Bij Hanab draait alles om energie: de energie van aanpakkers, van zes divisies die…
Generative AI Engineer joining the new R&D Hub of one of Ukraine's largest fintech companies, building production-ready GenAI and Agentic AI systems for products and internal processes. Day-to-day: RAG pipelines, multi-agent architectures, LLM API integrations, guardrails and model evaluation with Python, LangChain/LangGraph, vector DBs and cloud platforms. Full remote, official employment in Ukra
DevOps engineer at software house Acaisoft, working on a client's AI-powered enterprise platform (LLMs). Day to day: build and operate cloud infrastructure using Kubernetes, Docker, GitHub Actions CI/CD, Terraform, and a major cloud (AWS/GCP/Azure), plus monitoring, reliability, and security work in production.
Junior DevOps engineer at software house Acaisoft, working on infrastructure for a client's AI-powered enterprise platform. Day to day involves cloud operations, Kubernetes and Docker, CI/CD pipelines (GitHub Actions), Terraform IaC, and monitoring/reliability of production environments.
Data engineer building pipelines and ETL processes (with OCR and audio transcription) that turn unstructured documents, images and audio into embeddings for AI systems, using the Qdrant vector database for semantic search. Core stack: Python or Rust, REST APIs, Kafka/Pub-Sub, Linux, PostgreSQL.
Middle Data Engineer at RITS building data pipelines and processing unstructured data for AI solutions, using Python/Rust, vector databases (Qdrant), embeddings/RAG, Kafka, and GCP tools. B2B contract at PLN 147.20/hour with hybrid work from Warsaw.
Data engineer at B2B.NET S.A. building pipelines that process unstructured data for AI systems: ETL with OCR and transcription, embeddings, and the Qdrant vector database for semantic search. Core stack includes Python or Rust, REST APIs, event-driven architecture, Linux, and PostgreSQL.
RITS is hiring a Middle Data Engineer for a hybrid role in Warsaw (B2B contract) focused on processing unstructured data, building data pipelines, and modern AI solutions. The stack centers on Python and/or Rust, Qdrant vector databases, embeddings, semantic search, REST APIs, and event-driven architecture.
Data engineer building unstructured-data pipelines for an AI project at Scalo: designing ETL flows, OCR/ASR and document extraction, embeddings and semantic search with Qdrant, Python or Rust services, REST APIs, and event-driven processing via Kafka/Pub/Sub. Hybrid — 1 day/week from the Warsaw office; budget up to 140 PLN/h.
Qdrant is hiring a freelance Marketing Designer based in Portugal. The posting lists only the role title and a 'Design' category, with no further details on day-to-day duties, stack, or requirements.
Leads GenAI/LLM engineering work for Deloitte's US clients from Tel Aviv (hybrid): building scalable Python back ends and applying LangChain, RAG, agents, and vector databases to turn complex business problems into data-driven solutions.
Forward-deployed engineer at TechTorch who owns client projects end to end: designs data foundations (dimensional modeling, ETL/ELT pipelines with dbt, SQL, Snowflake/Databricks), builds Python/FastAPI and Next.js applications on top, ships RAG/agentic LLM features, and handles CI/CD and cloud deployment on AWS/Azure while using AI coding agents as a daily workflow.
As an AI Engineer who bridges traditional machine learning and modern generative / agentic AI. This role involves designing, building, and deploying end-to-end AI solutions including classical ML models, RAG-based…
Company Description NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise…
Вакансия для того, кто хочет строить инновации мирового уровня и видеть реальный след от своей работы. Команда создаёт ИИ-решение для анализа реализации стратегии Сбера. Это кейс на уровне топовых мировых исследований…
Designs and builds LLM-powered solutions (RAG pipelines, document intelligence, agentic workflows) and classical ML models for client engagements at an IT services company, then packages them as FastAPI APIs deployed to cloud. Core stack: Python, LLM APIs, vector databases, Docker, AWS/Azure/GCP.
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