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Builds and deploys AI/ML features (LLM-powered review categorization, summarization, and semantic search) for an app review management platform, optimizing for quality, latency, and cost.
Builds backend services and automates affiliate-marketing workflows using AI/LLMs to process traffic, integrate partners, and optimize conversions.
Develop complex AI applications, chatbots, and LLM-based systems using Python/LangChain or Java/Spring AI with RAG architectures, deployed on cloud and on-premise Kubernetes environments for enterprise clients.
Wir erweitern bei LOBECO unser Kernteam für Customized MARTECH AI Solution Development - von Rapid Prototyping , über MVP bis hin zu enterprise -grade KI-Softwarelösungen, die in die IT unserer Großkunden integriert…
Cloud-Native Solutions Architect designing and leading cloud-native application architectures, driving modernization to microservices/serverless, and integrating AI/LLM capabilities for a Belgian digital consultancy's client projects.
Build and maintain production AI systems using LLMs, agents, and retrieval pipelines that autonomously engage donors for nonprofits, combining backend services with AI workflows.
ВкусВилл — бренд натуральных продуктов для здорового питания с чистым и честным составом. Мы делаем полезное вкусным, а ещё создаём атмосферу взаимовыручки и человечности как для покупателей, так и для сотрудников.…
The Senior Data Engineer will design and build enterprise-grade data platforms and pipelines for federal clients using cloud technologies like AWS. The role involves architecting data migrations, optimizing ETL workflows, and collaborating in an Agile environment to support data exploitation initiatives.
Senior backend engineer owning architecture, delivery, and operations for two pre-launch AI-native products (a consulting platform and a 3D data visualization platform) using Python/FastAPI, Go, PostgreSQL, Redis, and LLM agent systems deployed on Kubernetes/DigitalOcean.
Senior AI/ML Engineer designing, optimizing, and validating enterprise-grade LLM and RAG solutions in Python, leading technical audits, building evaluation frameworks, and mentoring teams.
Senior DevSecOps Engineer responsible for architecting and maintaining high-security infrastructure for an enterprise-grade Agent Development Platform, using AWS, Firecracker MicroVMs, Kubernetes, and various database technologies to ensure secure agent execution and data protection.
This role involves designing and developing GenAI applications using Python, LangChain, and vector databases within a financial services environment. The developer will lead application systems analysis, programming, and deployment using FastAPI, containerization, and CI/CD pipelines.
Cloud Platforms and Agentic AI Architect The Opportunity: Drive the architecture, design, and delivery of scalable, multi‑cloud AI systems and API‑driven, event‑based applications. Lead teams in integrating structured…
Forward Deployed Engineer embedding with client teams to deploy, integrate, and scale enterprise Generative AI solutions on Google Cloud Platform, working with LLMs, vector databases, RAG pipelines, and GKE infrastructure.
Senior forward-deployed engineer embedded with Carlyle's Finance and Fund Management teams, building full-stack AI/automation solutions for Global Wealth operational processes (NAV reporting, fee models) using AWS services, LLM/RAG architectures, and modern frontend/backend frameworks.
Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data Building and operating APIs, backend services, and pipelines to keep data current and accessible…
Forward Deployed Engineer embedded with biopharma customers to design, build, and ship AI-powered production systems (Python/Django, AWS Bedrock, PostgreSQL) directly into Condor's core platform, solving clinical operations and financial workflow problems.
This FullStack Developer role involves building end-to-end enterprise applications using Angular, Java/Spring Boot, and Generative AI technologies. The developer will integrate LLMs, build RAG solutions, and implement intelligent agents within cloud-based microservices architectures.
Builds and deploys GenAI applications (LLM-based assistants, search engines, automation tools) by designing RAG pipelines, integrating cloud AI models, and ensuring scalability, security, and performance for enterprise clients.
MLOps Engineer builds and scales automated pipelines for machine learning models in a large e-commerce trust-and-safety team, using Kubernetes, Docker, ClearML, and Nvidia Triton.
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