The LLM Engineer will develop, fine-tune, and optimize Large Language Models and agentic AI solutions using proprietary healthcare datasets. They will also manage the full AI development lifecycle, including data preparation, model training, deployment, and integration into business workflows.
Remote LLM Engineer Jobs (75)
Search = LLM Engineer
Design, execute, and operationalize fine-tuning workflows for large language models using various learning approaches. Collaborate with cross-functional teams to translate requirements into engineered solutions while maintaining high standards through code and design reviews.
Design and operationalize fine-tuning workflows for large language models using supervised, preference-based, and reinforcement learning approaches. Build scalable training pipelines and rigorous evaluation suites to ensure model safety and performance in production.
🚀 Senior Fullstack AI Engineer | LLM, RAG, GraphRAG & AI Agents 🚀
knowmad mood
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Full Time
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2 Days Ago
knowmad mood
Design and develop AI-driven solutions including synthetic personas, LLM-based applications, and agentic workflows. Manage data integration and optimize AI components for performance, scalability, and business value.
Senior LLM Engineer – (Training, Evaluation, Production Deployment and Agentic Rag)
Lineslip Solutions Inc.
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Full Time
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2 Days Ago
Lineslip Solutions Inc.
The engineer will be responsible for fine-tuning and deploying large-scale LLMs to extract insights from insurance data. They will also design and manage RAG pipelines and containerized workflows to optimize model performance and scalability.
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Build and ship production-ready LLM features including RAG, agents, and structured outputs integrated into .NET services. Ensure system quality through evaluation sets, guardrails for PII handling, and monitoring of latency and cost.
AI/ML Research Engineer, LLM Post-Training & Evaluation
Innodata Inc.
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Full Time
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1 Week Ago
Innodata Inc.
Design and implement technical pipelines for LLM post-training, evaluation, and model improvement. Collaborate with research scientists and clients to build robust infrastructure for reproducible experimentation and model assessment.
Machine Learning Engineer - LLM & GenAI
DataKrew Pvt. Ltd.
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Full Time
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1 Week Ago
DataKrew Pvt. Ltd.
Design and develop the LLM-powered backend for the AskOX conversational AI layer using Python and FastAPI. Implement RAG pipelines and optimize retrieval accuracy, latency, and hallucination rates for fleet analytics.
AI Engineer (LLM / Generative AI)
Computer Task Group, Inc
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Full Time
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1 Week Ago
Computer Task Group, Inc
Design and develop scalable AI-enabled applications and intelligent automation solutions using LLMs and agentic workflows. Build backend services and APIs while implementing RAG patterns to integrate AI-driven insights into business applications.
Build and ship production-scale LLM-powered features, spanning backend services, APIs, and retrieval systems. Act as an agentic engineer using AI coding tools to automate workflows and optimize team delivery.
Senior AI Engineer - LLM Systems & RAG Optimization
Texas Sports Academy
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Full Time
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2 Weeks Ago
Texas Sports Academy
AI/ML & Prompt Engineer LLM, RAG & Voice Agent
QuantumLoopAI
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Full Time
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2 Weeks Ago
QuantumLoopAI
LLM Engineer / LLM Application Engineer / Senior Software Engineer (m/w/d) – KI-Plattform & LLM-Integration – Vollzeit
KI Group
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Full Time
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3 Weeks Ago
KI Group
The role involves building a comprehensive LLM platform from PoC to production, focusing on both internal tools and customer-facing products. Key tasks include developing RAG pipelines, agent architectures, and integrating LLM APIs into enterprise systems.
LLM Engineer / LLM Application Engineer / Senior Software Engineer (m/w/d) – KI-Plattform & LLM-Integration – Werkstudent / Praktikant
KI Group
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Full Time
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3 Weeks Ago
KI Group
The role involves building a shared LLM platform from PoC to production, focusing on internal tools and customer products. Key tasks include developing RAG pipelines, agent architectures, and integrating LLM APIs into enterprise systems.
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Sr Fullstack AI Engineer (LLM, RAG & Knowledge Graphs)
knowmad mood
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Full Time
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3 Weeks Ago
knowmad mood
Design and develop Generative AI applications using LLMs, Agentic AI, and GraphRAG to transform business and scientific data into actionable insights. Build scalable backend services, APIs, and data pipelines within an Agile environment.
AI/ML Research Engineer, LLM Post-Training & Evaluation
Innodata Inc.
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Full Time
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3 Weeks Ago
Innodata Inc.
Design and implement technical pipelines for LLM post-training, evaluation, and model improvement. Collaborate with research scientists and clients to translate evaluation findings into measurable model enhancements.
Senior AI Quality Engineer (LLM Evaluation & Automation) 1754
Softgic
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Full Time
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4 Weeks Ago
Softgic
Build and maintain an MVP evaluation harness including golden tasks and scorecard metrics. Integrate quality evaluations into the CI pipeline to gate releases and prevent regressions.
Senior LLM Engineer (RAG & AWS Bedrock)
Oowlish Technology
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Full Time
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4 Weeks Ago
Oowlish Technology
Design and implement RAG architectures and AI-powered chatbot experiences using AWS Bedrock. Develop scalable data ingestion pipelines and optimize semantic search strategies for enterprise knowledge retrieval.
AI Engineer (LLM / GenAI)
Prescience Decision Solutions
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Full Time
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5 Weeks Ago
Prescience Decision Solutions
Design and deploy scalable GenAI architectures and REST APIs using cloud environments and containerization. Develop AI agents and multi-agent systems while managing end-to-end MLOps pipelines for business use cases.
Develop and improve Sophea AI by focusing on LLM pre-training, fine-tuning, and evaluation for European languages. Build and optimize production-grade ML pipelines for inference, deployment, and GPU workload efficiency.
AI Engineer (LLM / GenAI)
Prescience Decision Solutions
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Full Time
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6 Weeks Ago
Prescience Decision Solutions
Design and deploy scalable GenAI architectures and REST APIs using cloud environments and containerization. Develop AI agents and multi-agent systems while managing end-to-end MLOps pipelines for business use cases.
Build and ship production-ready AI-powered product features and LLM-based workflows from idea to deployment. Improve existing AI systems for quality, reliability, and latency while integrating capabilities into backend systems.
Principal Machine Learning Engineer- LLM Fine-tuning and Optimization
Airbnb
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Full Time
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9 Weeks Ago
Airbnb
Responsible for fine-tuning and optimizing state-of-the-art LLMs for diverse use cases and high-performance deployment on Airbnb's ML infrastructure. You will design AI products like AI Assistants and autonomous agents while creating a multi-year technical roadmap.
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Senior Python AI Engineer (LLM & Multi-Agent Systems)
Seeking Alpha
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Full Time
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11 Weeks Ago
Seeking Alpha
Design and implement complex multi-agent orchestration logic and tool layers for a high-load financial analysis system. Optimize LLM performance, reduce latency, and implement automated evaluation pipelines to ensure system reliability.
Develop and deploy ML models and LLM-based solutions to predict product outcomes based on specific attributes. Transform an existing AI agent into a data-driven prediction engine and integrate LLM capabilities for improved reasoning.
You will build and integrate AI-powered features into production systems while improving the reliability, latency, and quality of existing AI workflows. The role involves taking ownership of the full development lifecycle, from conceptualizing ambiguous product ideas to deploying robust, production-ready software.
You will develop, integrate, and operate production-ready AI modules, focusing on LLMs, speech processing, and retrieval-augmented generation. You will also build and maintain scalable ML pipelines while ensuring high performance, stability, and cost-efficiency in a production environment.
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