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Salary: Up to PHP250K + Pioneer Team, Day 1 HMO Production Machine Learning Behind Australia's Digital Media Intelligence Australia's digital media industry generates millions of customer, content, product, and…
Build and maintain production AI systems using LLMs, agents, and retrieval pipelines that autonomously engage donors for nonprofits, combining backend services with AI workflows.
Design and operate production PostgreSQL clusters at scale for Dell's Database Platform, building self-healing infrastructure and automation using PostgreSQL, Kubernetes, Ansible, and Python.
Senior Postgres Platform Engineer Evaluates new database technologies and tools in the industry. Sets database system administration and programming standards, applies database technology to business problems, manages…
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description About Company: ThermoFisher Scientific Inc. is the world leader in serving science, with revenues of more than $25 billion and…
Our Company Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting…
About Us UMO is a stealth-mode FinTech venture aiming to evolve the way people experience money by building a unified, AI-powered, yet deeply human modern money platform across fiat, crypto, and investments - subject…
We're looking for an AI Engineer to own the AI layer of our products - from research and experimentation to production deployment. You'll have end-to-end ownership of AI initiatives, work on real-world GenAI…
Designs and builds agentic AI systems that automate enterprise processes: multi-agent workflows, tool calling, MCP servers, integrations with platforms like Salesforce and ServiceNow, plus evaluation, guardrails, and deployment as containerised services. Core stack is Python, major LLM APIs, agent frameworks (e.g. LangGraph), Docker, and cloud platforms.
Associate full stack engineer at Flatworld Solutions in Bangalore who rapidly builds functional prototypes (2-4 week cycles) and takes selected ones to production-grade MVPs for client pitches. Core stack: JavaScript/TypeScript, React, Next.js or Express.js, MongoDB/PostgreSQL, Docker, cloud deployment (AWS/Azure/GCP) and CI/CD, with AI/LLM exposure a plus.
Designs and builds LLM-powered solutions (RAG pipelines, document intelligence, agentic workflows) and classical ML models for client engagements at an IT services company, then packages them as FastAPI APIs deployed to cloud. Core stack: Python, LLM APIs, vector databases, Docker, AWS/Azure/GCP.
Senior AI Data Engineer Cooley AI is seeking a Senior AI Data Engineer to join the Innovation team. About Cooley AI: Cooley AI is the wholly-owned subsidiary of Cooley LLP. The frontier development arm of the leading…
Builds the data foundations for Temasek's agentic AI systems: agent-ready data architectures, RAG pipelines, vector/graph knowledge bases, and data quality, lineage, and observability frameworks over structured and unstructured investment data. Core stack includes Python, dbt, Airflow/Spark, streaming tools, and vector databases.
Senior data engineer in Singapore building AI-ready data pipelines, RAG/vector-store architecture, and data governance for both client POC engagements and production systems. Core stack: Python/SQL, Airflow/Spark/Kafka, and vector databases like pgvector/Pinecone, working closely with AI engineers.
Senior full-stack engineer at Giurify (P49's AI-native LegalTech product) who designs and ships complete features end to day: React 18/TypeScript frontend, Node.js 20/Hono backend on PostgreSQL, LLM integrations (Claude, tool calling, RAG) and Azure CI/CD, on-site in Padova.
Backend-focused software engineer at an AI consultancy in Izmir who turns LLMs, RAG and agent architectures into production features — building APIs (Python/FastAPI, .NET Core), evals, guardrails and Azure deployments for client projects and the company's own AI SaaS products.
Middle Python developer building and improving AI agents for corporate real-estate and office-management products using LangChain/LangGraph, FastAPI, and vector databases.
Senior ML Engineer builds and fine-tunes LLM-based agents and RAG pipelines for cybersecurity vulnerability detection, deploying on-prem models and optimizing MLOps/LLMOps workflows.
Data engineer on NCS AI Central's Forward Deployed Engineering team, building production-grade ingestion, batch/streaming pipelines (Airflow, Spark, Kafka) and RAG vector-store infrastructure (pgvector/Pinecone/OpenSearch) that turn client data into AI-ready datasets, with strong data governance (PDPA, PII redaction) and close collaboration with AI engineers.
Build and own the full-stack development of an AI-powered SEO optimization platform — frontend, backend, APIs, database, and deployment — using LLMs, RAG, embeddings, and vector search for content analysis and SEO recommendations. On-site in Singapore; immediate joiners only.