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Build full-stack AI applications using .NET, C#, React/Next.js, and Node.js, integrating LLMs with RAG, vector search, and tool-calling for scalable business automations.
Lead the backend and data engineering behind a next-gen RAG system, building scalable Apache Beam pipelines, Google Cloud Spanner graph queries, and FastAPI/Temporal services to power deterministic LLM agents.
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for an AI-powered fintech using Kubernetes, Airflow, and cloud platforms.
Designs AI solutions for clients, creating blueprints, estimates, and delivery plans while partnering with cross-functional teams to align technical, commercial, and operational needs.
Principal AI Engineer builds and deploys AI systems for an education-tech suite, integrating LLMs, RAG, and agentic frameworks to power admissions assistants and internal tools while leading AI adoption across teams.
Principal ML Engineer builds and deploys GenAI features for business planning, integrating LLMs, prompt engineering, RAG, and agentic workflows into production systems using Python, MLOps, and cloud-native infra.
Build and deploy enterprise-grade retrieval and knowledge systems for Scale GP, including RAG pipelines, vector stores, and context engines that power AI agents for customers.
Senior AI Engineer builds and deploys agentic LLM systems using frameworks like LangGraph and Crew AI to power Profitero+'s ecommerce analytics and automation tools.
Principal AI Engineer designs and deploys cutting-edge AI systems for enterprises, leveraging language models, agent frameworks, and cloud AI ecosystems to transform business processes.
Principal Engineer to design and lead Bullish’s AI & Data Platform, building semantic layers, knowledge graphs, and conversational analytics for institutional crypto and fintech use cases.
Build and maintain data infrastructure and AI-ready datasets for a global asset manager, partnering with quants and engineers to support investment strategies and automated decision-making.
Designs and leads AI systems using LLMs, transformers, and agent frameworks, setting standards for model safety, performance, and MLOps pipelines.
Build AI/ML models and graph analytics for telecom network autonomy, using Python, BigQuery, and KPI engineering to predict faults, optimize performance, and support AIOps and digital twin systems.
Build and orchestrate autonomous AI agents that reason, plan, and execute workflows using Hermes Agent and MCP, integrating tools and memory systems for production-grade applications.
Design and deploy LLM-based AI systems for healthcare compliance, including voice-to-documentation and regulatory gap analysis, using Python, LangChain, and vector databases.
Lead a team building AI-native customer experiences using modern frontend stacks (React/Next.js) and generative AI systems (LLMs, RAG, agents) for global brands.
Build and ship AI features end-to-end, designing prompts, workflows, and systems to turn raw model outputs into reliable product behavior in production.
Build AI agents, RAG/vector search, and platform integrations to automate workflows and enhance ETP Hub with AI-enabled tools for document search, summarization, and task assistance.
Build and deploy AI, data pipelines, and analytics solutions for enterprise clients in APAC, bridging business needs with production-ready GenAI, RAG, and data platforms.
Build scalable Python back-end services in cloud environments and lead AI/GenAI initiatives using libraries like LangChain, TensorFlow, and LLM APIs.
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