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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.
Boardy is an AI super-connector that helps ambitious professionals build a network that matters. We believe that talent and drive shouldn't be limited by who you know. In a world of LinkedIn spam and transactional…
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.
What We Do CarParts.com is the go-to eCommerce platform for auto care and maintenance. We provide drivers with quality parts at competitive prices and enable them to schedule appointments with trusted mechanics…
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.
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.
Lead GenAI adoption at Citi, designing and deploying LLM-powered features (RAG, agentic workflows) in enterprise applications while setting technical standards and mentoring teams.
Build and scale production-grade agentic AI systems using LLMs, multi-agent orchestration, and RAG pipelines across GCP, Azure, and AWS.
About the Client Our client is a well-established organisation within the Financial Services sector, currently expanding its AI and data capabilities to support a growing portfolio of AI-powered applications,…
Build AI-powered memory retrieval systems and multi-agent pipelines that extract, index, and rank conversation history for personalized LLM responses.
Role : The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full…
Build production-grade AI systems for investment analysis and procurement using LLM, multi-agent architectures, and RAG pipelines in Python.
Senior role designing and deploying AI solutions using graph data and GraphRAG for enterprise customers, from discovery to production.
Design autonomous network solutions for telecoms using AI frameworks (Vertex AI, LangGraph), APIs, and vector databases to optimize agentic systems and reduce inference costs.
Lead the AI and data strategy for a compliance SaaS platform, building production-grade generative AI, LLM systems, and MLOps pipelines in a regulated financial-tech environment.
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Designs and builds high-performance data pipelines and retrieval systems to power AI-driven video insights, combining vector search, knowledge graphs, and semantic layers at scale.
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