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.
Remote LLM Engineer Jobs (69)
Search = LLM Engineer
Develop and optimize advanced LLM algorithms and AI capabilities to automate workloads in decision support and mission planning. Collaborate with cross-functional teams to train, evaluate, and deploy scalable models into production 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.
Design, build, and deploy AI-powered applications including chatbots and enterprise copilots on Azure. Implement multi-LLM orchestration and RAG workflows while managing CI/CD pipelines and performance monitoring.
Design, build, and deploy AI-powered applications including chatbots and enterprise copilots on Azure. Implement multi-LLM orchestration and RAG workflows while managing CI/CD pipelines and performance monitoring.
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Design, build, and deploy AI-powered applications including chatbots and enterprise copilots on Azure. Implement multi-LLM orchestration and RAG workflows while managing CI/CD and MLOps pipelines.
Design, build, and deploy AI-powered applications including chatbots and enterprise copilots using Azure AI and Power Platform. Implement multi-LLM orchestration and MLOps pipelines to ensure scalable and secure production-ready solutions.
Principal Machine Learning Engineer- LLM Fine-tuning and Optimization
Airbnb
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Full Time
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3 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.
Senior SQA Engineer (LLM) Remote Pakistan
Techsurge Private Limited
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Full Time
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4 Weeks Ago
Techsurge Private Limited
Design and own the end-to-end QA strategy for a Conversational Banking Platform, focusing on AI-specific evaluations and LLM-as-judge frameworks. Establish regression strategies for prompt changes and validate governance, compliance, and safety guardrails.
Senior Python AI Engineer (LLM & Multi-Agent Systems)
Seeking Alpha
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Full Time
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4 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.
Own the AI layer of the DOGER product, managing the flow from user query to structured answer. This includes expanding system capabilities, improving multi-step agent workflows, and building external APIs for monetization.
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.
Senior Software Engineer – LLM Evaluation 1921 APPLICANTS
Careerflow.ai
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Part Time
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13 Weeks Ago
Careerflow.ai
The role involves creating cutting-edge datasets for training and benchmarking Large Language Models by curating code examples, providing solutions, and making corrections across various programming languages. Responsibilities also include evaluating and refining AI-generated code for quality and collaborating on enterprise-level AI-driven coding solutions.
The role involves owning the core LLM infrastructure to power two products: Hub, focusing on self-serve features using RAG and adaptive workflows, and Prime, architecting automated systems for syndicated intelligence at scale. Key technical challenges include fusing structured and unstructured data, building semantic search across proprietary corpora, and creating high-quality AI pipelines.
Senior Python AI Engineer (LLM & Multi-Agent Systems)
Seeking Alpha
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Full Time
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15 Weeks Ago
Seeking Alpha
The role involves designing and implementing complex agent orchestration logic using LangGraph, defining state management, and building/optimizing the tool layer for LLM interaction with internal APIs. Responsibilities also include reducing latency via asynchronous processing and streaming, implementing semantic caching, and optimizing token usage.
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Design and implement complex agent orchestration logic using LangGraph, defining state management, routing, and error handling for the high-load financial analysis system. Build and optimize the tool layer for LLM interaction with internal APIs and implement performance optimizations like asynchronous processing and semantic caching.
Design and implement stateful agentic workflows and develop robust integration layers for the autonomous agents. Optimize inference pipelines for speed and reliability while establishing a rigorous testing framework for model outputs.
Design and implement stateful workflows for autonomous agents, ensuring they can plan, execute, and self-correct. Develop integration layers for the agents to interact with internal APIs and third-party tools.
Design and implement stateful agentic workflows for autonomous agents. Develop integration layers for LLM interactions with internal APIs and third-party tools.
Design and implement stateful agentic workflows and develop robust integration layers for the LLM to interact with various tools. Optimize inference pipelines for speed and reliability while establishing a rigorous testing framework for model outputs.
Design and implement stateful agentic workflows for autonomous agents. Build integration layers for the LLM to interact with internal APIs and third-party tools.
Design and implement stateful workflows for autonomous agents and develop integration layers for interaction with APIs and tools. Optimize inference pipelines for speed and reliability while establishing testing frameworks for model outputs.
Design and implement stateful agentic workflows and develop robust integration layers for the LLM to interact with various tools. Optimize inference pipelines for speed and reliability while establishing a rigorous testing framework for model outputs.
You will design, implement, and deploy end-to-end NLP and deep learning systems while building LLM-powered applications. You will also be responsible for developing and maintaining production Python services and scaling systems to handle high volumes of requests.
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You will own the core LLM infrastructure powering products that redefine B2B research. This includes building self-serve features and architecting automated systems for capturing expert opinions.
LLM Fine-Tuning Engineer
Bright Vision Technologies
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Full Time
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Yesterday
Bright Vision Technologies
Design and execute 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 performance and safety in production.
LLM Fine-Tuning Engineer
Bright Vision Technologies
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Full Time
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Yesterday
Bright Vision Technologies
Design and execute 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 performance and safety in production.
LLM Fine-Tuning Engineer
Bright Vision Technologies
·
Full Time
·
Yesterday
Bright Vision Technologies
Design and execute 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 performance and safety in production.
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