Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
AI DevOps/MLOps Engineer building and automating CI/CD pipelines for LLM and AI model deployment on Kubernetes/OpenShift, using Jenkins, Docker, Terraform, and model serving platforms for a Singapore-based bank.
DevOps Engineer for AI systems: designs and maintains CI/CD pipelines, observability, and cost/performance management for LLM/agentic applications, bridging POCs to production-grade deployments with Kubernetes and Terraform.
Design and build production-grade AI agent systems using LangGraph, CrewAI, and MCP, deploying on Azure/AWS while enforcing structured outputs, evaluation pipelines, and Responsible AI guardrails.
Builds and maintains scalable AI/ML infrastructure for content recommendation systems using Vertex AI, KServe, Kafka, Elasticsearch, and vector databases to enhance search, retrieval, and personalization.
The Principal Generative AI Engineer will lead the design and deployment of LLM-based automation and intelligent operations platforms within Citi's Consumer Operations Technology division. The role focuses on architecting RAG pipelines, implementing AI governance frameworks, and ensuring production-grade reliability for financial services applications.
Designs and leads GenAI and Agentic AI solutions across multi-cloud environments, focusing on RAG, AI agents, and end-to-end architecture for data, integration, and security. Works with AWS, Azure, and GCP to build scalable, production-grade AI systems with governance and LLMOps practices.
Senior Golang engineer designing scalable backend microservices and integrating AI/LLM capabilities into POS and SaaS platforms.
The Lead Software Engineer will design and deploy autonomous AI agents and foundational services for Disney's ad platforms. The role focuses on building scalable AI solutions using Python, LangChain, RAG, and agentic workflows to support media and advertising operations.
Build and deploy AI products—query assistants, report summarizers, multi-agent chatbots—for a Vietnamese securities firm (ACBS), using Python, LLM agent frameworks, RAG pipelines, and cloud infrastructure (AWS/GCP).
The Senior Machine Learning Engineer will develop and deploy production-grade GenAI applications, including LLM-based solutions, RAG systems, and agentic workflows, to support various business lines at RBC. The role involves building scalable ML infrastructure and collaborating with cross-functional teams to deliver impactful AI solutions.
WEX is looking for a Senior AI Data & Database Engineer to help modernize critical SQL Server systems while building the data infrastructure that powers AI applications and agents. This is a hands-on engineering…
The Senior Data Scientist will transform operational data into actionable insights by developing dashboards and implementing GenAI solutions like RAG and structured extraction. The role involves end-to-end delivery, stakeholder management, and mentoring team members on data modeling and analytics standards.
Thiết kế và xây dựng các sản phẩm/tính năng AI: trợ lý truy vấn, tổng hợp, thống kê, so sánh và phân tích dữ liệu thị trường, ngành, mã chứng khoán; xử lý và tóm tắt báo cáo, tài liệu; chatbot/trợ lý nghiệp vụ cho…
MLOps + DevOps Engineer responsible for operating an AI-native platform with agentic systems, ML workloads, and backend services on AWS. Core technologies include AWS (EKS, Lambda, Bedrock, SageMaker), Kubernetes, Kafka, Terraform, and observability stacks like Grafana, Prometheus, and OpenTelemetry.
Beacon AI is seeking Cloud and ML Infrastructure Engineers to build and maintain scalable AWS infrastructure and LLM platforms for aviation systems. The role involves designing RAG pipelines, managing model inference, and ensuring secure, high-performance deployments using tools like AWS, Python, and LangChain.
Designs and leads enterprise-scale AI/ML and Generative AI solutions, focusing on LLMs, RAG architectures, and cloud-based deployments while mentoring teams and ensuring governance.
AI/ML Engineer designing and deploying end-to-end LLM and RAG pipelines, MLOps workflows, and data integration systems on AWS (SageMaker, Bedrock, Lambda, EKS) for enterprise clients in regulated industries.
Design, build, and maintain AI agents and RAG pipelines using LLMs (Claude, OpenAI, Bedrock), Python (Django/FastAPI), vector databases, and AWS for a remote data consultancy.
The Senior AI/ML Engineer will design and deploy enterprise-scale AI systems, including intelligent agents and copilots, using Python, LLMs, and RAG architectures. The role focuses on building scalable, production-grade AI services within a cloud-native environment.
Required Skills 8–11 years of software engineering experience Strong expertise in TypeScript and Node.js Strong programming experience in Python Hands-on experience with LLMs and Generative AI Experience with AI…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
