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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.
Build and deploy AI-powered tools and platforms for summer-camp software, enabling internal teams and external customers with agentic coding and AI best practices.
Senior AI Engineer builds and deploys generative AI systems using LLMs, RAG, agents, and vector search, working remotely in LATAM or the US.
Builds and maintains the core platform for Qdrant’s open-source vector search engine, enabling AI applications like semantic search and RAG; works with technologies like vector databases, retrieval systems, and scalable AI infrastructure.
Builds and scales high-performance data pipelines and production-ready systems using Python, SQL, Databricks/PySpark, and modern data engineering practices.
The AI Engineer will design, develop, and deploy generative AI and machine learning solutions using LLMs, prompt engineering, and MLOps. The role involves integrating Azure and Snowflake technologies to build scalable AI applications.
Build and deploy AI/ML models and scalable backend services in Python and Go to power financial news analytics and real-time data APIs for global investors.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global…
Presidio, Where Teamwork and Innovation Shape the Future At Presidio, we're at the forefront of a global technology revolution, transforming industries through cutting-edge digital solutions and next-generation AI.…
The Principal AI Engineer will manage the infrastructure, deployment, and reliability of production-grade agentic AI systems using AWS Bedrock, Terraform, and containerized runtimes. This role focuses on scaling AI pipelines, ensuring security through IAM, and maintaining observability for agentic workloads.
Design and implement Agentic AI solutions, build data pipelines for RAG systems, and develop LLM-based applications using frameworks like LangGraph/LangChain for Thales Group's defense-sector R&D projects.
The AI Platform Engineer will design and operate enterprise AI/GenAI platforms, focusing on LLMOps, MLOps, and building reusable AI services like RAG and inference APIs. The role also involves developing CI/CD pipelines and coaching teams on DevOps best practices within a capital markets environment.
Builds and enhances mission-critical full-stack applications (Python backend + React frontend) for Fitch Ratings’ global credit analytics workflows, integrating AI/ML where impactful.
Python developer building and deploying GenAI/LLM applications with a focus on RAG pipelines, prompt engineering, and MLOps in production using Python, LangChain, vector databases, and Kubernetes.
The AI Engineer will build and deploy production-grade AI systems to support energy infrastructure, working directly with internal stakeholders to translate business needs into technical solutions. This role requires hands-on experience with LLMs, RAG, and agent frameworks, as well as the ability to operate in a hybrid, in-office environment in Houston.
This role involves building and maintaining secure, scalable backend microservices for digital banking platforms using Java, Spring Boot, and Kafka. The engineer will lead distributed systems design and mentor team members while ensuring high availability and performance in a regulated financial environment.
Build responsive web and mobile applications using React/React Native while integrating AI/LLM capabilities—prompt engineering, AI agents, RAG—using Python and frameworks like LangChain.
The Senior AI Engineer will build and deploy production-grade LLM features into the Kayzen mobile demand-side platform console. This role focuses on practical, full-stack AI development, including RAG and agentic systems, rather than academic research.
Build and scale an enterprise-grade AI platform, integrating LLMs, vector databases, and distributed systems in Python to deliver scalable backend services and intelligent product features.
Senior AI engineer building and deploying AI-powered tools for early-childhood educators, using Python, LLMs, and AWS services to create safe, measurable learning experiences.
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