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Build and own a semantic search system for doctors using proprietary clinical data, deploying LLM-powered tools directly in hospitals and clinics.
Own AI-powered product discovery and autonomous shopping features for B2C commerce, building semantic search engines and Agentforce workflows with engineering, data science, and UX teams.
Build AI-powered memory retrieval systems and multi-agent pipelines that extract, index, and rank conversation history for personalized LLM responses.
Lead a team to design and scale data platforms, machine learning models, and AI-driven analytics using Python, SQL, Snowflake, and AWS for market intelligence and vendor data products.
Senior Backend Engineer building scalable Python systems for NLPatent’s platform, using Django/Flask, REST APIs, and cloud services.
Develop AI-powered tools using Python, LLM APIs, and RAG to build chatbots, assistants, and automation workflows for real-world business use cases.
Why qlub The end of a great meal shouldn't be the slow part. Waiting for the check, finding someone to take payment, splitting a bill by hand. qlub removes that friction. Guests scan a QR code and pay in seconds.…
Build secure, AI-powered analytics platforms for national security, integrating agentic AI, knowledge graphs, and LLMs into DoD environments.
Build and maintain cloud-native AI infrastructure on Databricks and AWS, deploying ML models and LLMs at scale with MLOps pipelines and observability.
Build AI models for telecom networks: analyse telemetry, alarms, and topology to predict faults, optimize performance, and enable self-healing operations using Python, ML, and graph analytics.
Build and maintain scalable .NET backend services and RESTful APIs using C#, SQL, and AWS, integrating cloud-native and AI components for enterprise applications.
Builds and maintains Java-based applications for government missions, integrating Python scripts, cloud services, and semantic search while producing Tableau dashboards.
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 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 and govern a universal data platform to power GenAI agents, LLMs, and retrieval workflows with clean, integrated data and semantic search capabilities.
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.
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
Build and deploy LLM-powered AI solutions, including RAG pipelines and NLP applications, using Python, LangChain, and cloud platforms like Azure/AWS/GCP.
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