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Senior AI Data Engineer
Senior AI Data Engineer builds and maintains AI-ready knowledge bases and pipelines for enterprise AI solutions, copilots, and RAG systems using Python, Postgres + pgvector, and unstructured data sources.
GenAI-разработчик / бизнес-аналитик
Senior GenAI developer designs and implements corporate AI solutions like agents, RAG pipelines, and automations for a large mining-industry company using n8n, PostgreSQL, and Python.
AI Engineer
Build and deploy production-grade AI systems for fintech, including stateful agents, multimodal RAG pipelines, and adversarial testing to power real-time global payments.
AI Centre of Excellence, Full-Stack Engineer (Generative AI)
Build and deploy enterprise-grade AI applications that integrate generative AI models, vector databases, and cloud infrastructure using Python, TypeScript, and modern DevOps practices.
Staff Software Engineer
Build and deploy AI agents and full-stack solutions for real-estate data problems, rapidly prototyping enterprise-grade systems from concept to production in days.
Generative AI Consultant
Design and deploy generative AI solutions (RAG, fine-tuning, agents) for clients, bridging technical teams and business needs while ensuring performance, security, and compliance.
Hiring: Full Stack Developer (AI-Enabled)
Build and ship full-stack web apps while using AI coding assistants daily and integrating LLM features (RAG, chatbots, agents) into products using frameworks like LangChain and cloud AI services.
Senior AI Backend Engineer
Build and ship AI-powered backend services for Galaxy’s products, integrating LLM/RAG features via AWS Bedrock and SageMaker APIs, using Python, REST, and Kubernetes.
Senior Associate GenAI Integration Engineer
Build and deploy enterprise GenAI applications using LLMs and multi-agent frameworks, integrating RAG pipelines and Python backend services for scalable AI solutions.
Senior Advisor, Data Science
Build and fine-tune domain-specific LLMs, create agentic workflows, and integrate applications using Python and transformers to automate data-driven processes for Dell’s Sales Renewals team.
Backend AI Engineer
Build and maintain backend services that power AI agents and retrieval systems for a B2B SaaS that serves restaurants across Latin America, using Ruby, Python, PostgreSQL, and vector databases.
AI Engineer
Build and lead enterprise-scale generative AI systems, including multi-agent frameworks, multimodal pipelines, and RAG systems, using LLMs and vector databases to drive data-driven business insights.
AI Application Architect
Design and lead the architecture of AI-native applications, including agent systems, LLM infrastructure, and scalable data pipelines, while ensuring security and compliance for production-grade systems.
AI Solution Architect_Boston
Designs enterprise-scale AI agent systems, multi-agent workflows, and RAG pipelines using Python, LangChain, and cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).
Principal Data Scientist_Boston
Lead enterprise Generative AI strategy, designing advanced RAG architectures and evaluation frameworks to deploy production-grade LLM systems with a focus on accuracy, safety, and business impact.
AI Engineer
Build full-stack AI systems and agent integrations for J.D. Power’s Innovation Crew, shipping backend services, APIs, and frontend components that turn AI architectures into production-ready prototypes.
Senior Agentic Platform Engineer
Build Porch Group’s Agentic Platform: deploy and govern remote agents, MCP servers, retrieval pipelines, and LLM gateways using Python, TypeScript, Kubernetes, and Google Cloud.
Senior Data Scientist (m/f/x)
Build and deploy production-grade AI systems, including RAG pipelines and agent frameworks, to power a sustainability-focused product lifecycle management platform.
Senior Software Engineer (12-month contract)
Build and maintain AI agentic systems, microservices, and APIs in Python/Java to automate healthcare workflows and integrate with enterprise data sources.
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.