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€55,800 por año
...get close to the operating system and hardware. Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch. Be an expert on Elasticsearch search relevance. You'll identify and drive improvements this...- ...and deploying agentic solutions. ~ Usage Interne / Internal Use Proficiency in implementing RAG techniques. ~ Experience with vector databases. ~ Advanced programming skills in Python with frameworks like TensorFlow, PyTorch, and Hugging Face. ~ Deep understanding...
KCS IT
Lisboa5 dias atrás - ...e ferramentas de agentes e orquestração de IA; MCP (Model Context Protocol) e arquiteturas de integração de ferramentas; Vector databases e sistemas de pesquisa semântica; OCR e processamento inteligente de documentos; Speech-to-Text / Text-to-Speech...
GuiSoft
Leiria7 dias atrás - ...metadata frameworks, or information architecture concepts. • Experience with semantic search, Retrieval-Augmented Generation (RAG), vector databases, knowledge discovery, and AI-powered user experiences. • Experience collaborating with Research, Architecture,...
KWAN
Lisboa10 dias atrás - ...with model training and observability platforms (e.g., Vertex AI, SageMaker, WandB, MLFlow, LangSmith, Langfuse). Experience with vector databases (e.g., ChromaDB, Pinecone). Experience working with analytical databases (BigQuery, Redshift, Snowflake)....
- ...understanding of modern Artificial Intelligence systems, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Stores, AI Agents, and Tool Calling/Tool Use; - Experience conducting DPIA, managing international data transfers, and handling...
Olisipo
Lisboa17 dias atrás - ...on delivery with technical guidance and solution design Nice-to-Haves ~ Experience with RAG, semantic search, embeddings, vector databases, or other retrieval-based AI architectures ~ Experience building agentic or multi-step LLM workflows ~...
- ...RAG Collaborate with Data Engineers to build and maintain pipelines that feed AI models, ensuring high data quality and efficient vector database management Work closely with Systems Architects to ensure AI components are scalable and secure Conduct experiments...
- ...solving abilities, and a passion for innovation. Nice to have: - Azure OpenAI, OpenAI APIs, LangChain, LangGraph, Semantic Kernel, Vector Databases, Langfuse, Grafana AI, or Azure AI Foundry. Why join us? - Work on impactful AI products. - Shape the future of...
Dellent
Lisboa5 dias atrás - ...pipelines, testes, automatização, CI/CD e deployment. Definir padrões, guidelines e boas práticas para desenvolvimento com LLMs, vector databases, frameworks de agentes, MLOps/LLMOps e DataOps aplicados à GenAI. Realizar revisões técnicas (arquitetura, código, PRs...
- ...Azure), containers, or Kubernetes. Familiarity with the ecosystem — e.g. LLM APIs and frameworks such as LangChain or LlamaIndex, vector databases, and orchestration/streaming tools like Kafka or Airflow. Interest in agentic systems, evaluation and guardrails for...
- ...Entra ID); - Go beyond the use of automated analysis tools through manual investigation, vulnerability validation, and attack vector chaining ( attack-path chaining ); - Integrate AI-assisted tools (LLMs, coding assistants, and agent-based tools) into offensive...
- ...Evaluate AI and LLM security risks such as exposed inference endpoints, overly permissive model access, insecure secrets handling, vector store exposure, unsafe plugin or tool integrations, and LLMOps pipeline weaknesses. Drive remediation from finding identification...
- ...including prompt engineering and basic agentic workflows Hands-on experience with RAG solution design and deployment, including vector databases and retrieval strategies Familiarity with AI/LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel...
LBC - Leadership Business Consulting
LisboaUm mês atrás - ...preferred. Exposure to AWS, GCP, Azure, containers, or Kubernetes is preferred. Familiarity with LLM APIs, LangChain, LlamaIndex, vector databases, Kafka, or Airflow is preferred. Interest in agentic systems, LLM evaluation and guardrails, anomaly detection, or...
- ...generalization, and bias; plus a solid grasp of common model families (e.g., k-nearest neighbors, decision trees/random forests, support vector machines, linear/logistic regression, and basic neural networks) At least 1 year of hands-on experience with LLMs in production...
Critical Manufacturing
Porto25 dias atrás - ...cybersecurity trends, adversarial ML tactics, and global compliance regulations, and evolve the security posture ahead of new attack vectors. Partnering with engineering & product Act as the primary security partner for the Platform, Application Engineering, and...
- ...Unreal Engine 5; ~ Solid understanding of game architecture, algorithms, and multi-threaded programming; ~ Strong proficiency in 3D vector math, matrices, and linear algebra; ~ Strong debugging skills and experience resolving complex technical issues; ~ Familiarity...Trabalho remoto
- ...workflows. Build information retrieval pipelines within established architectural patterns (data ingestion, chunking, embeddings, vector search). Contribute to evaluation frameworks and production monitoring for GenAI solutions. Wrangle, explore and visualize...
- ...any country. Nice-to-have skills we value Low-level CPU insights and assembly language - understanding cache, registers, vectorization, memory Kernel performance insights - scheduling, context switching, hardware acceleration Distributed systems performance...
- ...environment. Excellent communication and collaboration skills. Nice to Have Experience with multi-agent systems. Knowledge of vector databases and semantic search technologies. Experience with cloud environments. Previous exposure to SaaS or hospitality...
- ...such as LangChain, LlamaIndex or similar Experience building AI Agents and intelligent conversational systems Familiarity with vector databases such as Pinecone, Azure AI Search, Weaviate, ChromaDB or similar Experience integrating AI solutions into backend...
- ...international corporation; ~ Strong working knowledge of the GDPR; ~ Solid technical grounding in how modern AI systems work - LLMs, RAG, vector stores, agents, tool use; ~ Experience with DPIAs, international data transfers and data subject rights at scale; ~ Fluent...
€51,065.45 a €69,088.55 por año
...selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel). Proficiency in Python...Amgen
Lisboa25 dias atrás- ...such as LangChain, LangGraph, and Microsoft Agent Framework; - Experience implementing scalable AI and MLOps solutions, including Vector Databases and cloud platforms such as Azure, AWS, or GCP; - Knowledge of Data Engineering, REST APIs, containerization...
- ..., monitoring, auditing, and disaster-recovery practices. Build secure data-ingestion, transformation, indexing, retrieval, RAG, vector-search, and enterprise data-access patterns. Implement responsible-AI safeguards, governance controls, observability, tracing, output...
- ...scripting languages for automation is also beneficial. Proven track record working in cybersecurity, understanding common attack vectors, threat landscapes, and defensive technologies. Proficiency in implementing security measures within Elasticsearch, such as role...
Jolera Inc.
Porto2 meses atrás - ...infrastructure and network environments. Telemetry Pipelines: Experience with telemetry collection and streaming platforms such as Vector, Telegraf, Fluentd, Kafka as well as general telemetry protocols including legacy SNMP, Syslog, NetFlow, and IPFIX. Data...
€40,961.5 a €55,418.5 por año
...Data, knowledge and cloud-scale systems: Batch and event-driven pipelines, contracts, lineage, provenance, relational/document/graph/vector stores, APIs, containers, Spark or Databricks and cloud-native services. AI evaluation and MLOps/LLMOps: Representative measures...Amgen
Lisboa25 dias atrás- ...requirements analysis, documentation assistance, test interpretation, and failure analysis. Building AI pipelines using LLMs, embeddings, vector databases, and domain‑specific knowledge sources. Integrating AI agents with engineering tools, databases, and repositories (e.g...
