You will build the intelligence layer for AI experiences by designing agent workflows and integrating LLMs with various tools and services. Additionally, you will establish production practices for observability, evaluation, and continuous improvement of AI systems.
Remote LLM Engineer Jobs (67)
Search = LLM Engineer
LLM Fine-Tuning Engineer (Open-Weight Models / Secure Environments)
Trenchant
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Full Time
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2 Weeks Ago
Trenchant
The engineer will design and execute post-training lifecycles for open-weight language models, including fine-tuning, dataset creation, and synthetic data generation. They will collaborate with technical teams to operationalize these models for secure and restricted environments.
Design and implement backend systems and APIs in Go to build the foundational layer for AI workload observability. Lead complex technical projects and collaborate with product and design teams to deliver full-stack features using React and TypeScript.
Software Engineer – GenAI (LLM Applications)
Zeiss VisioGen
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Full Time
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4 Weeks Ago
Zeiss VisioGen
Design and deploy production-grade LLM applications using Agentic workflows and RAG systems. Develop RESTful APIs and collaborate with cross-functional teams to build scalable AI solutions for healthcare.
Design and operate a unified AI platform layer consisting of LLM and MCP gateways to manage external model providers. Focus on governance, cost control, security, and observability to ensure safe and efficient AI consumption across the company.
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Design and implement intelligent exception resolution capabilities by integrating LLMs like Claude and OpenAI into a financial reconciliation platform. Develop robust API integrations and human-in-the-loop workflows to ensure financial accuracy and auditability.
You will architect and build the next generation of search and recommendation intelligence while owning the full machine learning lifecycle. This includes developing advanced ranking algorithms, fine-tuning language models, and implementing scalable recommender systems.
Design and develop advanced AI solutions based on LLMs, including synthetic AI personas and insight generation tools. Build scalable backend services, data pipelines, and integrations to support decision-making in the pharmaceutical sector.
The engineer will own the full AI stack, specifically expanding speech emotion recognition models into physics-based harmonic engines. They will also manage dual-instance production LLM infrastructure on GCP, including prompt engineering and quality monitoring.
【〜 ¥15M】Software Engineer (AI × LLM × MLOps) Build AI Products That Transform the Real Estate Industry
GAIDOOR株式会社
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Full Time
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3 Weeks Ago
GAIDOOR株式会社
Develop and operate scalable AI-powered products and MLOps environments to transform the commercial real estate industry. Lead the entire product lifecycle from Proof of Concept and MVP development to full-scale commercial deployment.
Design and develop end-to-end Generative AI solutions and pipelines using Python and Large Language Models. Integrate AI services into applications via APIs and optimize models for performance, latency, and cost.
AI Developer / AI Engineer – Agentic AI, LLM & Predictive Analytics
KATBOTZ LLC
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Full Time
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7 Weeks Ago
KATBOTZ LLC
Design and deploy Agentic AI systems, LLM applications, and predictive ML models to support business operations. Develop AI chatbots, RAG systems, and automation tools while integrating them with enterprise systems and cloud platforms.
Design and develop production-grade full stack applications powered by LLMs and AI agent frameworks. Provide technical leadership to multiple teams while implementing DevOps practices to ensure scalable and reliable AI deployments.
Design and develop production-grade full stack applications powered by LLMs and AI agent frameworks. Provide technical leadership and implement DevOps practices to ensure scalable, secure, and reliable AI-enabled enterprise services.
Lead the design and integration of production-grade full stack applications powered by LLMs and AI agent frameworks. Collaborate with cross-functional teams to build scalable APIs and implement DevOps practices for AI-enabled enterprise services.
Design and integrate full-stack applications powered by LLMs and AI agent frameworks while maintaining secure, scalable backend services. Provide technical leadership across teams and implement DevOps practices to ensure reliable, high-impact AI deployments.
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Design and integrate full-stack applications powered by LLMs and AI agent frameworks while maintaining secure, scalable enterprise APIs. Provide technical leadership across teams and implement DevOps practices to ensure the reliability and performance of AI-enabled solutions.
The LLM Inference Deployment Engineer will optimize, deploy, and scale large language models for high-performance inference on energy-efficient AI accelerators. Responsibilities include utilizing inference runtimes and optimizing model execution for low-latency AI inference.
Design and build scalable data ingestion, cleaning, and LLM enhancement pipelines to power AI applications. Implement AI guardrails and RAG architectures to ensure the accuracy and reliability of AI-ready datasets.
Design, develop, and optimize an enterprise search infrastructure using vector databases and full-text search engines. Implement deep learning-based NLP algorithms to improve query understanding and ranking accuracy for a better user experience.
Build production-ready Python backend services to extract, summarize, and structure information from unstructured data like emails and documents. Develop and optimize retrieval systems using RAG and hybrid search to automate property management workflows.
Design and build production-grade LLM-powered applications and agentic workflows using Python. Implement RAG pipelines and integrate AI systems with backend services and cloud platforms.
LLM Integration & CI/CD Engineer-- Senior Associate-AI Managed Services - operate
PwC
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Full Time
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13 Weeks Ago
PwC
Build and operate CI/CD pipelines and API integrations to ensure stable and secure deployment of AI workloads. Provide L2/L3 support for integration defects and drive continuous improvement in release governance and operational reliability.
Python Engineer – AI Agents & LLM Systems
INNOCV Solutions S.L.U.
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Full Time
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14 Weeks Ago
INNOCV Solutions S.L.U.
Design and implement AI solutions using RAG and autonomous agent networks to solve complex business problems. Manage data ingestion pipelines and deploy models using MLOps practices and serverless architectures.
Senior Python Engineer – AI Agents & LLM Systems
INNOCV Solutions S.L.U.
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Full Time
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14 Weeks Ago
INNOCV Solutions S.L.U.
Design and implement AI solutions using RAG and autonomous agent networks to solve complex business problems. Manage data ingestion pipelines, serverless architectures, and MLOps practices to automate the deployment of AI models.
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![Smart Working Solutions is hiring for remote LLM Systems / AI Agent Engineer (Remote, Full-Time) [AS311]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
LLM Systems / AI Agent Engineer (Remote, Full-Time) [AS311]
Smart Working Solutions
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Full Time
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2 Days Ago
Smart Working Solutions
You will build and evolve production AI agents using foundation models, focusing on orchestration, context engineering, and evaluation pipelines. Additionally, you will implement observability and monitoring systems to ensure the performance and reliability of AI agent deployments.
Dutch Senior Prompt Engineer: LLM Migration & Optimization
Welo Data
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Full Time
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22 Weeks Ago
Welo Data
The primary mission involves leading the end-to-end technical migration of templates into high-performance LLM autoraters, utilizing advanced tools for generation and optimization. This includes continuously measuring quality against gold data baselines using precision, recall, and F1 scores to ensure automated systems meet accuracy targets.
French Senior Prompt Engineer: LLM Migration & Optimization
Welo Data
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Full Time
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22 Weeks Ago
Welo Data
The main mission is to lead the end-to-end technical migration of templates into high-performance LLM autoraters, utilizing advanced generation and optimization tools to ensure automated quality meets human accuracy baselines. This involves continuously measuring quality against gold data baselines using precision, recall, and F1 scores, and manually refining complex prompts to resolve edge cases.
Portuguese (Portugal) Senior Prompt Engineer: LLM Migration & Optimization
Welo Data
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Full Time
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22 Weeks Ago
Welo Data
The primary mission involves leading the end-to-end technical migration of templates into high-performance LLM autoraters, utilizing advanced prompt generation and optimization tools to achieve automated quality at scale. This includes continuously measuring quality against baselines using precision, recall, and F1 scores, and manually refining complex prompts to resolve architectural gaps.
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