Design and deliver scalable backend and cloud systems to power AI-driven products using modern LLM APIs. Develop agentic AI workflows and maintain production-grade infrastructure on AWS using Terraform.
Remote AI Engineer Jobs (2,146)
Search = AI Engineer
The role involves deploying and configuring an AI platform within enterprise biopharma environments and building custom integrations. The engineer will translate customer needs into product signals, ensuring approximately 80% of custom work merges back into the core platform.
Develop pipelines to extract complex data from visual documents using Vision-Language Models and layout analysis. Orchestrate AI agents and chains using LangChain or LangGraph to reason about data and generate accurate responses.
Architect and develop robust ETL pipelines for graph ingestion and manage high-volume data streams using Kafka. Ensure graph hygiene through automated deduplication and optimize query performance for large-scale datasets.
The role involves resolving complex technical SEO and AI-driven search issues while acting as a domain expert for LLM and local discovery. You will collaborate with product and engineering teams to influence the roadmap for AI SEO features and create technical documentation.
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Senior AI Solution Engineer Document Intelligence (gn)
Projekt 3T GmbH
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Full Time
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4 Weeks Ago
Projekt 3T GmbH
Develop and optimize AI-driven solutions for document analysis, classification, and routing to handle millions of incoming emails. Translate business requirements into technical features and user stories while ensuring data privacy and governance.
Forward Deployed Engineer (Enterprise AI Solutions Architect) – India (Remote)
Resilinc
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Full Time
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4 Weeks Ago
Resilinc
You will design and deploy AI-driven supply chain solutions by working directly with global enterprise customers to solve complex business challenges. Additionally, you will lead data integrations and deliver Proof of Concepts while collaborating with internal product and engineering teams.
You will design and build scalable, production-grade backend systems and APIs to integrate modern AI capabilities into financial products. Additionally, you will manage cloud infrastructure, CI/CD pipelines, and agentic AI workflows to ensure high performance and reliability.
The Sr. AI Governance Engineer will design and implement governance frameworks for Power Platform and Copilot Studio to ensure secure, scalable enterprise deployments. They will act as a trusted advisor to clients, providing technical leadership on platform strategy, security, and operational models.
AI Systems Engineer
Platform Engineering Masters
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Full Time
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4 Weeks Ago
Platform Engineering Masters
You will own and evolve the data infrastructure and content production systems, including CRM pipelines and automation workflows. You will also collaborate with leadership on architectural decisions to reduce manual overhead through AI-driven agent orchestration.
AI Software Engineer (MCP Development / AI R&D)
Careerflow.ai
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Part Time
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4 Weeks Ago
Careerflow.ai
You will develop and maintain Model Context Protocol (MCP) tools to connect AI models with complex database environments. Additionally, you will refactor legacy code, expand test coverage for agentic coding assistants, and create technical documentation to support community adoption.
Lead AI Software Engineer
Streamline Healthcare Solutions
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Full Time
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4 Weeks Ago
Streamline Healthcare Solutions
Lead the end-to-end design and implementation of AI/ML solutions, including RAG, LLM fine-tuning, and data pipelines within enterprise standards. Establish MLOps practices, ensure HIPAA compliance, and collaborate with cross-functional teams to deliver high-impact, reliable AI services.
The AI Innovation Engineer will architect and build proprietary AI agents and automation workflows to drive operational excellence across the organization. They will also manage the AI stack, develop implementation playbooks, and collaborate with subject matter experts to ensure successful adoption of AI tools.
AI Solutions Engineer (Azure OpenAI & RAG) - Remoto Inglés fluido
Towa
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Full Time
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4 Weeks Ago
Towa
Design, implement, and maintain RAG solutions and conversational assistants using Azure OpenAI and vector stores. Collaborate with multidisciplinary teams to integrate AI into software architectures while ensuring model quality and business alignment.
AI Application Engineer (Azure OpenAI Services) - Remoto con Inglés
Towa
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Full Time
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4 Weeks Ago
Towa
Design, implement, and maintain RAG solutions and conversational assistants using Azure OpenAI and vector databases. Develop and optimize prompts for LLMs while ensuring the quality, security, and scalability of AI solutions in production environments.
The role involves identifying high-friction workflows and replacing them with AI-driven automation systems, including the design and deployment of AI agents. You will also be responsible for integrating AI systems with internal platforms and developing RAG-based knowledge systems to improve operational efficiency.
The Senior AI Platform Engineer will partner with executive leadership and product teams to identify AI enablement needs and build scalable AI platform solutions. This role involves designing AI best practices, implementing agentic coding tools, and mentoring internal teams to improve efficiency through AI-powered tooling.
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Design and implement evaluation frameworks to assess the quality, safety, and consistency of LLM and agentic AI systems. Develop automated test pipelines and define quality metrics to detect regressions and ensure reliability across AI features.
You will build and own the AI Agent Factory, creating shared infrastructure and patterns for deploying reliable AI agents across the company. Additionally, you will develop systems to connect LLMs to structured data safely while implementing evaluation and observability frameworks to ensure agent quality.
Senior Software Engineer, Applied AI
synvert Portugal(Recruiting)
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Full Time
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4 Weeks Ago
synvert Portugal(Recruiting)
Lead the design and implementation of agentic pipelines and LLM-based applications while taking end-to-end responsibility from architecture to production. Define evaluation frameworks and feedback loops to ensure high-quality AI system performance and reliability.
Software Engineer, Applied AI
synvert Portugal(Recruiting)
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Full Time
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4 Weeks Ago
synvert Portugal(Recruiting)
You will build production-ready LLM-based applications and agentic workflows while integrating AI capabilities into existing architectures. Additionally, you will contribute to evaluation and monitoring practices to ensure the reliability and performance of AI systems.
You will design and own the agent runtime and orchestration layer while building long-horizon agent workflows. Additionally, you will develop robust evaluation loops and ensure system reliability through metrics, alerts, and observability.
The engineer will own the distributed AI scheduling layer, building Ray-based task graphs for inference, training, and RAG workloads. They will also manage Ray deployment patterns on Kubernetes and integrate scheduling decisions with capacity, SLA, and observability systems.
The role involves building and maintaining core distributed Go services for SLA enforcement, capacity management, and compliance routing. You will also design high-concurrency routing logic and integrate with various infrastructure systems like Kubernetes and Redis.
The Senior AI Systems Engineer will lead the deployment, integration, and operational support of AI platforms and infrastructure. They are responsible for building MLOps pipelines, ensuring system security and compliance, and collaborating across teams to align technical implementations with business objectives.
Design, develop, and enhance cloud-based, SaaS web-based clinical trial applications while collaborating with cross-functional teams. Ensure code quality through unit testing, debugging, code reviews, and technical documentation while mentoring junior team members.
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Design and implement distributed data pipelines for batch and real-time processing to support advanced analytics and machine learning. Build and maintain data ingestion frameworks, warehouse schemas, and feature stores while ensuring data quality and system scalability.
You will lead the design and development of next-generation agentic AI systems, focusing on agent architecture, memory engineering, and robust evaluation. You will work closely with product and engineering teams to translate cutting-edge research into scalable, production-grade systems.
The Staff AI Enablement Engineer will design and maintain the shared AI infrastructure, including MCP servers and orchestration layers to support cross-functional AI adoption. You will partner with various departments to build purpose-built agents that transform institutional knowledge into actionable workflows.
The AI Platform Engineer will lead the strategy and execution for integrating AI into internal software engineering workflows. Responsibilities include managing LLM inference infrastructure, building context-injection servers, and automating CI/CD pipelines with AI capabilities.
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