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- ...experimental ideas into real-world impact It will be nice to have Deep understanding of transformer architectures, embeddings, vector databases, and RAG systems Experience with MLOps, monitoring AI systems in production, and managing AI-related costs You've...
Yonderland
Porto14 dias atrás - ...-on exposure to AI tooling and platforms. ~Solid understanding of AI and ML components, including model serving, data pipelines, vector databases, and orchestration frameworks. ~Proven experience setting architectural standards or reference architectures across multiple...
- ...experience with AI/GenAI solutions; Experience with AI frameworks such as Azure OpenAI, Vertex AI, or similar; Knowledge of vector databases (MongoDB, PostgreSQL, BigQuery Vector Search); Familiarity with GenAI frameworks such as LangChain, LlamaIndex, or similar...
- ...features, not just code ~ Fluent in English (written and spoken) Strong bonus: Experience building RAG pipelines, working with vector databases, or designing agentic AI workflows Hands-on experience with prompt engineering, LLM orchestration (LangChain,...
- ...of experience in similar roles ~ Proficiency in Python ~ Experience with cloud AI tools (e.g., Azure, AWS, GCP) ~ Knowledge of vector databases and embedding-based retrieval ~ Experience with containerization and deployment using Docker ~ Familiarity with CI/CD...
- ...and AI augmented daily development workflow) Thorough understanding of Agentic Systems design patterns and techniques Python, Vector stores and semantic search, Prompt Engineering and LLM call parametrization Experience with serverless architectures, most used...
- ...designing experiments, conducting A/B testing and iterating on models based on feedback Knowledge of retrieval systems (keyword and vector search) and ranking algorithms Familiarity with emerging AI protocols (MCP, A2A, ACP) Experience deploying solutions to cloud AI...Trabalho remoto
- ...and AI augmented daily development workflow) Thorough understanding of Agentic Systems design patterns and techniques Python, Vector stores and semantic search, Prompt Engineering and LLM call parametrization Experience with serverless architectures, most used...
- ...interest in AI-enabled application development. • Familiarity with Retrieval-Augmented Generation (RAG) architectures, including vector databases and embedding-based search. • Exposure to machine learning concepts, model inference, and evaluation. • Hands-on...
- ...Senior ML Engineer, you will collaborate with (AI) Solution Architects, Data Scientists, and data engineers to enhance our product vector databases and enable an AI-driven search that can match a customer and their intent with the perfect holiday. Become part of our...Trabalho remoto
- ...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 - ...solutions to drive innovation. Architect data pipelines leveraging SAP HANA Cloud, SAP Data Intelligence, SAP Analytics Cloud, vector engines, and knowledge graph technologies. Lead cross-functional teams in prototyping, building, and scaling AI‑driven automation...
- ...sólida em Python Experiência prática com LLMs em produção Implementação prévia de sistemas RAG Experiência com pelo menos uma Vector DB (Ex: pgvector, Pinecone, Weaviate, Milvus, Qdrant, Elastic/OpenSearch) Experiência com APIs REST (FastAPI ou similar)...
imDigital
Porto21 dias atrás - ...Experience with LLMs, prompt engineering, or RAG pipelines. Familiarity with LangChain / LangGraph frameworks. Familiarity with vector databases (e.g., FAISS, pgvector) or embedding models. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and...
$12,000 por año
...Policy and Product teams to create, test, and refine annotation guidelines account for global document diversity and emerging fraud vectors. · Provide structured feedback to machine learning engineers and data scientists on model performance. Identify systematic errors...$12,000 por año
...campaigns, phishing scams, and synthetic identity networks. · Use SQL, Python, or analytics to query large datasets, uncover attack vectors, and quantify the scale and impact of abusive behavior. · Design and implement rules, models, and workflows to detect and prevent...- ...database layer: SQL schema design, performance tuning, and the contract between operational stores and the AI retrieval surface. Vector DB & RAG Operations Operate the vector database tier in production: indexing strategy, embedding model selection, similarity...
- ...with at least one compiled or systems-level language when performance matters. Hands-on experience combining graph queries with vector search and full-text retrieval (Elasticsearch, Qdrant, or equivalents). Comfortable running Neo4j or equivalent graph infrastructure...
- ...AppSec and Dev Teams with mitigation advice for identified vulnerabilities. Research and create proof-of-concept based on identified vector attacks. How will you make an impact? Conduct security-focused static code and software composition analysis on top of a broad...
Checkmarx
Braga2 meses atrás - ...enterprise automation • Familiarity with tool-calling mechanisms, agent-driven patterns, or modern orchestration frameworks • Knowledge of vector databases, semantic search systems, or retrieval infrastructure • Exposure to evaluation pipelines, monitoring tools, or MLOps for...
€2,000 por mês
...Programming & AI Proven strong experience with JavaScript, TypeScript, and Python Advanced GenAI/LLM expertise: RAG, embeddings, vector search, prompt engineering, evals, guardrails, caching, chaining, function calling, etc Fine-tuning expertise: LoRA/QLoRA,...Trabalho remoto- ...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...
- ...engineering side, the role involves building and operating production AI services using LLMs, RAG and hybrid retrieval approaches, and vector search technologies. Features are owned end‑to‑end—from design and implementation to deployment, monitoring, and ongoing...
- ...aligning business requirements to technical solutions in a regulated environment Good-to-Have Skills: Knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel). Experience managing...
€45,000 a €65,000 por año
...Azure AI Studio, and Azure OpenAI Service. ~ Expertise in building production‑grade RAG pipelines, including chunking strategies, vector search, retrieval evaluation, and end‑to‑end optimisation. ~ Hands‑on experience with Large Language Models (LLMs) in...- ...experience for millions worldwide. Your contribution to something big: Define, set up, and maintain hardware test benches based on Vector Informatik technology. Perform fault analysis, calibration, and optimization of test benches. Continuously improve the...
- ...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...
- ...exploits. Collaborate with development teams to implement security best practices. Research and monitor new threats, attack vectors and vulnerabilities on blockchain technologies. Develop and implement security frameworks for detecting threats and vulnerabilities...
Tether Operations Limited
Lisboa2 meses atrás - ...Contribute to experiments involving Generative AI, RAG, and reasoning patterns. Support data ingestion and handling via APIs, vector databases, and graph databases where applicable. Follow Agile methodologies to ensure iterative delivery and continuous improvement...
ITDS Portugal
Lisboa22 dias atrás - ...LLM-driven agents are orchestrated across coding, validation, and data quality stages with structured quality gates. Experince with vector and/or graph databases feeding RAG is a strong plus. Agentic Development Maturity : Defines specs and acceptance criteria that...
