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Senior Database Administrator
Senior Database Administrator to scale PostgreSQL clusters, build vector data capabilities, and automate database workflows for a fintech and AI company.
Product Manager AI Revenue Systems
Own AI-powered revenue systems: build agentic tools for sales workflows, define data pipelines, and create evaluation frameworks to measure GTM impact.
Applied Scientist, GenAI & ML Systems
Builds and deploys production-grade GenAI/ML systems (LLM/SLM optimization) for multi-agent architectures in cloud environments, focusing on agent orchestration, RAG pipelines, and inference efficiency.
Senior AI Engineer
Builds agentic AI systems for commercial real estate using LangGraph, AWS Bedrock, and retrieval pipelines to power research, document generation, and zoning tools for brokers and investors.
Data & ML Engineer
Build and maintain the data and ML infrastructure for an AI-powered decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure government environment.
Data & ML Engineer
Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure, accredited environment.
AI Data Engineer H/F
Build and deploy generative-AI applications for enterprise clients, including RAG pipelines, LLM integrations, and AI-native tools using Python, FastAPI, and cloud services like Azure OpenAI.
Senior Data Scientist, Predictive Modeling, Credit & Risk
Build and deploy ML models to predict credit risk for Carvana’s auto loans, using structured and unstructured data to improve decision accuracy and scalability.
Senior AI Engineer (Amazon Bedrock)
Senior AI engineer builds and deploys production-grade agentic AI systems on AWS using Amazon Bedrock, Strands Agents, and MCP servers for clients like PayPal and adidas.
MLOps AI Engineer
Build and operate the MLOps platform powering TeamViewer’s AI assistant, including data pipelines, vector stores, model deployment, observability, and safety mechanisms for production-grade agentic experiences.
Data & AI Engineer
Build and maintain cloud-based data pipelines and AI agents; design ETL/ELT workflows, vector databases, and LLM-powered applications using Python, SQL, and cloud platforms.
Python Backend Development Talent with RAG and Agentic AI Experience
Build and deploy scalable AI-powered backend systems using Python, FastAPI, and RAG with agentic workflows, vector search, and LLM integrations for enterprise use.
Senior/Lead Data Engineer - DATA & AI
Build and optimize large-scale data pipelines on Databricks and PySpark, then extend them with LLM evaluation, vector search, and ML model pipelines for AI-powered analytics.
Senior Data Engineer, Blockchain data and/or NLP pipelines
Build and operate high-throughput ETL/ELT pipelines that ingest blockchain, exchange, and text data, then serve clean datasets and APIs for crypto-market analytics and risk models.
AI Engineer – Algorithm Evaluation & Agentic Systems
Develops and evaluates advanced AI algorithms for Apple’s computer vision and video understanding systems, focusing on benchmarking, failure analysis, and agentic system design to ensure robustness and safety in production environments.
ML/AI Developer
Builds and optimizes AI-powered legal RAG pipelines using Qdrant, hybrid search, and LLM providers (Anthropic, OpenAI, YandexGPT) to retrieve and rank relevant legal documents from a 23M+ corpus.
Full Stack Developer (AI-Enabled)
Build and ship full-stack web apps while integrating AI features like LLM-powered tools and RAG systems using modern stacks and cloud-native DevOps.
Associate Data Scientist
Build and refine ML models and ETL pipelines in Python/Scala to detect financial crime using NLP and graph analytics for banks and government agencies.
Applied AI Product Builder (FDE based in Singapore)
Build and deploy enterprise AI products like agents, RAG systems, and computer vision solutions, working directly with customers to turn AI capabilities into scalable, secure products.