All engineering roles
Open engineering roles from public job boards. Postings that mention AI tools come first.
138 postings
Devoteam · Madrid, MD, Spain
Data / ML engineeringSpainSpanishAzure OpenAIMCP (Model Context Protocol)RAGEmbeddingsVector databasesResponsible AI…de IA dentro del ecosistema Microsoft Azure. Trabajarás con tecnologías como Python, Microsoft Foundry, Azure OpenAI, Azure AI Search y Microsoft Agent Framework, participando en la implementación de agentes, la integración de…
Tomtom · Amsterdam, The Netherlands
Data / ML engineeringNetherlandsHugging FaceAgentic workflowsRAGPrompt / context engineeringFine-tuning / LoRA / PEFTEmbeddings+2 more…in a cross-functional team. Experience with ML frameworks and libraries such as PyTorch, TensorFlow or Hugging Face is preferred. Familiarity with MLOps practices and tools (e.g., MLflow, experiment tracking, model…
Inetum2 · LA CHAPELLE SUR ERDRE, France
…data et architecture dans un contexte agile. Environnement technique : Java Python APIs IA générative (LLM, RAG, embeddings) Méthodologies Agile Profil recherché : Formation supérieure en informatique. Expérience en…
Reddit · Remote - United States
…ranking, or related relevance problems. Strong understanding of retrieval modeling concepts, including DNN, embeddings, two-tower or dual-encoder models, approximate nearest-neighbor search, and multi-stage retrieval. Deep…
Sia · Paris, IDF, France
…Guardrails, etc.). Knowledge of both proprietary and open-source ecosystems (Open AI, AWS, Hugging Face, Anthropic, Mistral.ai, Qwen, etc.) Excellent communication skills, with the ability to convey complex technical…
Ramp · New York, NY (HQ); San Francisco, CA (USA)
…and expand the value Ramp provides over time. - Drive the core product engineering roadmap through our embedding model — specializing within a core product area to develop deep domain expertise and make prioritization calls on…
ASOS · London, England, United Kingdom
Data / ML engineeringUnited KingdomAzure OpenAILangChainSemantic KernelAgentic workflowsMulti-agent systemsEvals / LLM evaluation+7 more…patterns for autonomous + human-in-the-loop systems Build and scale solutions on the Azure AI stack (Azure OpenAI, AI Studio, Azure ML, Cognitive Services) Create reusable infrastructure: Prompt orchestration layers, Vector…
Anthropic · New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY | Seattle, WA; San Francisco, California, United States
…or operating full-text search engines (inverted indexes, BM25) or hybrid retrieval systems Familiarity with embedding models and the retrieval demands of LLM training and inference Experience using GPUs or other accelerators for index…
Anthropic · New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA; San Francisco, California, United States
…shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven…
Reddit · Remote - United States
Data / ML engineeringRemoteLocal / open-weight LLMsLlamaQwenAgentic workflowsMulti-agent systemsEvals / LLM evaluation+5 more…or production LLM features Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization Improving…
Encord · London (United Kingdom)
…drive original research on open problems from leading robotics and AI customers - Research and prototype agentic workflows which can handle multimodal inputs and diverse customer ontologies - Advance our work on data curation and…
CITECH · Dijon, Bourgogne-Franche-Comté, France
BackendFranceFrenchLangChainLangGraphAgentic workflowsEvals / LLM evaluationEmbeddingsVector databases+2 more…et développer des composants logiciels en Python et Java. Développer et intégrer des agents IA avec LangChain, LangGraph et Google ADK. Créer des SDK, des API et des connecteurs pour faciliter l'utilisation des services…
Prosus · Amsterdam (Netherlands)
Data / ML engineeringNetherlandsOpenAIAnthropicHugging FacevLLMAgentic workflowsFine-tuning / LoRA / PEFT+1 more…- State-of-the-art infrastructure: H200 GPU fleet, massive proprietary datasets, access to frontier models (OpenAI, Anthropic, Google, Together.ai http://Together.ai) for evaluation and baselines - Expert colleagues who…
Tieto2 · Fornebu, Norway
Data / ML engineeringNorwayAgentic workflowsRAGPrompt / context engineeringEmbeddingsVector databases…of AI outputs Retrieval-augmented generation, embeddings, vector databases or related retrieval patterns Agentic workflows, function calling or AI orchestration frameworks We offer We offer professional growth, meaningful projects,…
Wayve · Sunnyvale, California USA (United States)
…APIs for vector similarity, semantic retrieval and metadata-filtered search - Evaluating and integrating embedding models, vector databases, ANN libraries and external vendors - Evaluation frameworks measuring retrieval quality,…
Shift Technology · France - Paris; France
…Proven experience building with frameworks like Microsoft Agent Framework, LangGraph, LlamaIndex, OpenAI Agents SDK, or custom orchestration frameworks. LLM Patterns & Tooling: Practical experience with Model…
CEiiA · Matosinhos, Porto, Portugal
Data / ML engineeringPortugalPortuguesevLLMEvals / LLM evaluationRAGFine-tuning / LoRA / PEFTEmbeddingsLLMOps / MLOps…usar frontier vs open-source vs fine-tuned, com trade-offs claros; Infraestrutura AI: GPUs, model serving (vLLM, TGI ou equivalente), inference pipelines, compute cloud vs on-prem; Integração de dados de múltiplas…
Reddit · Remote - United States
…Strategy: Define a unified user understanding framework and strategy: how users are represented (embeddings, tags, attributes, LLM-based user profile), how they are computed, stored, and exposed. Provide thought…
Tieto2 · Trondheim, Norway
Data / ML engineeringNorwayAgentic workflowsRAGPrompt / context engineeringEmbeddingsVector databases…of AI outputs Retrieval-augmented generation, embeddings, vector databases or related retrieval patterns Agentic workflows, function calling or AI orchestration frameworks We offer We offer professional growth, meaningful projects,…
Stripe · San Francisco; US
…their needs. Our recommendations reach users across the Dashboard, email, onboarding, documentation, and AI agent interfaces. We combine an understanding of each business with models that decide which recommendation is…
Tomtom · Madrid, Spain
Data / ML engineeringSpainHugging FaceAgentic workflowsRAGPrompt / context engineeringFine-tuning / LoRA / PEFTEmbeddings+2 more…in a cross-functional team. Experience with ML frameworks and libraries such as PyTorch, TensorFlow or Hugging Face is preferred. Familiarity with MLOps practices and tools (e.g., MLflow, experiment tracking, model…
ABOUTYOUGmbH · Hamburg oder Berlin, Germany
…oder anderen performanzkritischen Backend-Systemen Vertrautheit mit ML-basierten Systemen, LLMs, Embeddings, Vektorsuche oder Learning-to-Rank-Ansätzen Erfahrung im Betrieb großskaliger Systeme mit hohen Anforderungen…
ABOUTYOUGmbH · Hamburg or Berlin, Germany
…APIs or other performance-critical backend systems Familiarity with ML-powered systems, LLMs, embeddings, vector search or Learning-to-Rank approaches Experience in operating large-scale systems with strict latency…
ABOUTYOUGmbH · Hamburg oder Berlin, Germany
…Diversität und A/B-Experimente Entwicklung von GenAI-Features wie unserem Streaming-basierten Gemini Fashion Advisor mit Fokus auf niedrige Latenzen, Session State und die effiziente Steuerung von…
ABOUTYOUGmbH · Hamburg or Berlin, Germany
…chains, deduplication, diversity, and A/B experimentation Build GenAI product features like our streaming Gemini fashion advisor, focusing on low latency, session state, and token cost control Own reverse-ETL pipelines…
ABOUTYOUGmbH · Hamburg oder Berlin, Germany
…die Daten aus BigQuery in OpenSearch übertragen Integration von LLMs und Embedding-Modellen wie Gemini und Vertex AI unter strengen Latenzvorgaben – inklusive Caching- und Fallback-Mechanismen Sicherstellung der…
ABOUTYOUGmbH · Hamburg or Berlin, Germany
…k-NN product vectors) streaming data from BigQuery into OpenSearch Integrate LLMs and embedding models (Gemini, Vertex AI) under tight latency budgets with caching and fallback layers Guard search relevance using golden…
Cognite · India (Bengaluru)
…Infrastructure (Bonus): Familiarity with serving or storing vector embeddings to support semantic search and RAG-based contextualisation use cases. Model Lifecycle Awareness: Understand model versioning, A/B experiment…
Vocali · Murcia Híbrido
Software (general)SpainSpanishAmazon BedrockAmazon SageMakerLangGraphLLM observabilityAgentic workflowsEvals / LLM evaluation+3 more…modelos según calidad, latencia, coste, privacidad y disponibilidad; trabajarás con proveedores como AWS Bedrock y otras APIs de modelos sin acoplar la arquitectura a uno solo. Observabilidad y evaluación: Instrumentarás…
Artefact · Kuala Lumpur, Kuala Lumpur, Malaysia
Data / ML engineeringHugging FaceAgentic workflowsRAGPrompt / context engineeringEmbeddingsVector databases+1 more…databases, or AI agents . Familiarity with ML/AI frameworks and libraries such as PyTorch, TensorFlow, Hugging Face , or equivalent. Experience with at least one major cloud platform: GCP, Azure, or AWS . Good understanding…