All engineering roles
Open engineering roles from public job boards. Postings that mention AI tools come first.
236 postings
Sia · Amsterdam, NH, Netherlands
…LlamaIndex, and pgvector. We work closely with leading technology partners including Anthropic (Claude), OpenAI, Databricks, and AWS. In practice that means early access to new model releases, direct engineering channels…
Sia · Antwerp, Belgium
…LlamaIndex, and pgvector. We work closely with leading technology partners including Anthropic (Claude), OpenAI, Databricks, and AWS. In practice that means early access to new model releases, direct engineering channels…
N2jsoft · Lyon, France
Software (general)FranceFrenchOpenAIClaudeAmazon BedrockRAGPrompt / context engineeringFine-tuning / LoRA / PEFT+1 more…AWS et en particulier des services IA/LLM (ex. Bedrock), Intégration d’outils IA et d’orchestration (N8N, OpenAI, Claude, …), Expérimentation et amélioration continue via prompt engineering et fine-tuning de…
Databricks · New York City, New York; San Francisco, California
…and monitoring AI quality in production Familiarity with LLMs and generative AI, including techniques like retrieval-augmented generation (RAG), prompt design, fine-tuning, and evaluation A demonstrated product mindset, with the ability to…
SopraSteria1 · Brussels/Flanders, Belgium
Data / ML engineeringBelgiumDutchAgentic workflowsRAGFine-tuning / LoRA / PEFTVector databasesResponsible AILLMOps / MLOps…business- en operationele omgevingen. Dit omvat onder meer traditionele AI, NLP, LLM’s, generatieve AI, agentic AI, trustworthy AI en MLOps. Je bouwt je expertise verder uit in AI engineering, Python development,…
SopraSteria1 · Brussels/Flanders, Belgium
Data / ML engineeringBelgiumAgentic workflowsRAGFine-tuning / LoRA / PEFTVector databasesResponsible AILLMOps / MLOps…into real business and operational environments. This includes traditional AI, NLP, LLMs, generative AI, agentic AI, trustworthy AI and MLOps. You’ll grow your expertise in AI engineering, Python development, production-ready…
Riverlane · Delft, NL; Delft, South Holland, Netherlands
…reinforcement learning). Experience with ML model design and optimisation, including training, evaluation, fine-tuning and interpretation. Experience using GPU or TPU acceleration for training and evaluation. Excellent…
Machinelearningreply · Munich, Germany
…Knowledge of modern AI/ML frameworks and tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI APIs. · Awareness of software engineering principles (SOLID, testing, version control). · Familiarity with…
Cognite · India (Bengaluru)
…write clean, modular, and testable code. Solid hands-on experience with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. Experience working with large datasets, writing complex SQL queries, and hands-on familiarity…
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…
Epidemic Sound · Stockholm HQ (Sweden)
…understanding of the ML lifecycle (training, evaluation, deployment) and the current AI landscape, including fine-tuning on domain-specific data. You don’t need to be the most experienced ML engineer on the team, but you can…
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…
Databricks · Mountain View, California; San Francisco, California; San Francisco, California
…, make training fault-tolerant , and speed up fine-tuning with fused kernels and smart sequence packing. AI agents now launch experiments too, and on our research team they've already increased training jobs 8x . As a Senior…
Hiflylabs · Budapest, Hungary
…PoCs), as well as experience with classical ML projects. Strong hands-on experience with RAG, agents, and open-source LLMs. Deep understanding of system-level trade-offs (latency, cost, scaling, reliability), and experience…
Lexroom · Barcelona (Spain)
…reputation, a new standard for the legal world. WHAT YOU'LL DO - Design and build agent-driven and RAG-based AI systems to solve complex legal tasks with precision and efficiency. - Fine-tune and post-train…
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…
Ruby Labs · Ukraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia
Data / ML engineeringUkraineRemoteLangChainLlamaIndexLLM observabilityEvals / LLM evaluationFine-tuning / LoRA / PEFT…JSON mode, function calling, Zod/JSON schemas, validators, and repair loops - Own complex LLM workflows (LangChain, LlamaIndex, or custom) that integrate cleanly into application logic BROWSER AUTOMATION - Build and…
Plaid · San Francisco HQ; Seattle Office (United States)
…of Plaid’s foundation models, driving key decisions across pretraining objectives, model architecture, and fine-tuning approaches that power a wide range of downstream product applications. You will serve as the technical lead…
Mistral AI · Paris; London (France)
…quality loss. - Collaborate with the Inference Foundation team to integrate validated techniques into the vLLM-based serving stack. - Partner with pretraining and RL teams when techniques require co-training,…
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…
Devoteam · Levallois-Perret, IDF, France
Data / ML engineeringFranceFrenchAmazon BedrockVertex AIAzure OpenAIAmazon SageMakervLLMLangChain+9 more…Qdrant, Chroma). Cloud Providers : Solide expérience sur au moins un Cloud majoritaire (AWS SageMaker / Bedrock, GCP Vertex AI, Azure Machine Learning / Azure OpenAI). Conteneurisation & Orchestration : Docker, Kubernetes…
Trainline · London (United Kingdom)
Engineering ManagerUnited KingdomRemoteAmazon BedrockLangGraphAgentic workflowsEvals / LLM evaluationMCP (Model Context Protocol)RAG+3 more…MLflow, Docker, ECS, Terraform, GitHub Actions for CI/CD - Models: foundation models served through Amazon Bedrock - Agents: LangGraph for orchestration, deployed and run on Amazon Bedrock AgentCore, with MCP for tool…
Agilerobotsse · Munich, Bavaria, Germany
…for a Machine Learning Engineer (m/f/d) VLA Training & Evaluation , who will build the frameworks for fine-tuning and benchmarking robot foundation models on collected robot data. The frameworks are meant to work across…
Mistral AI · Paris (France)
…GPU clusters. - Overall understanding of the field of generative AI; knowledge of, or interest in, fine-tuning and using language models for applications. - Strong software-design instincts: testing, code review,…
Neptunenorth · Newcastle Upon Tyne; Newcastle upon Tyne, England, United Kingdom
…specific scenarios, such as a specialist application or deployment to low power hardware Experience building agentic systems, where models plan and act across several steps Judgement about the risks and limitations of AI, including…
Agilerobotsse · Munich, Bavaria, Germany
…existing methods for new tasks where that requires significant changes. Model Training: Design, train, fine-tune, and evaluate models in PyTorch, including adapting pretrained and foundation models to real robot…
OpenAI · San Francisco (United States)
…- Comfort working closely with researchers and engineers on open-ended problems. - Fluency in using AI agents to move quickly across multiple workstreams in a fast-paced environment. - Experience with model…
Supercell · Helsinki (Finland)
…AI work in practice. - Own evaluation as a first-class deliverable. Write and maintain the benchmarks, evals, and regression suites that tell you whether something is genuinely good, across the modalities you're…
Black Forest Labs · Freiburg (Germany); Zurich
…consistency, to safety. - Evaluating the evaluation stack itself: checking that human and automated evals agree, that results stay stable over time, and improving them when they don't. - Benchmarking FLUX against…
Cohere · Korea (South Korea)
Software (general)RemoteClaudeGeminiAgentic workflowsRAGPrompt / context engineeringFine-tuning / LoRA / PEFT+2 more…in real-world applications. - Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use,…