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Senior engineer builds and deploys LLM-powered agents and RAG systems for clients, owning presales scoping through production deployment with Python and cloud tooling.
Design and deploy AI solutions to optimize logistics workflows, using LLMs and GenAI tools to streamline project delivery and cross-functional coordination.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and optimize full-stack web and mobile platforms alongside AI-driven features like recommendations and chat interfaces using React/Next.js, Node.js, and LLM tools.
Build and secure AI-powered automations and workflows while helping teams adopt AI responsibly; focus on LLM security risks like prompt injection and data leakage.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Build and maintain scalable ETL pipelines and CI/CD workflows on Azure Databricks and Microsoft Azure, enabling reliable data insights and cloud cost optimization for enterprise stakeholders.
Lead enterprise AI adoption by designing governance frameworks, productivity KPIs, and automated acceptance platforms to evaluate and scale AI solutions across finance and operations.
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Build and deploy cloud-native microservices in Python/Java on Azure, integrating data models, APIs, and Kubernetes for an insurance-focused tech stack.
Build and deploy LLM-powered AI agents, RAG systems, and backend trading infrastructure in Python to automate research, risk, and trading workflows for a quantitative trading firm.
Designs and owns scalable AI architectures for enterprise clients, blending Azure cloud solutions, Power Platform low-code tools, and agentic AI frameworks like LangGraph and RAG systems.
We are seeking a Sales AI Integrator to design, implement, and optimize AI-driven systems that enhance our sales operations. This role bridges the gap between sales strategy, automation, and AI tools, ensuring our…
Lead design, implementation, and support of Microsoft Azure and AI platforms, ensuring stability and integration while troubleshooting complex issues in a multi-tenant environment.
Build and scale AI-powered backend services for Pearson’s English learning platform using Python, Go, TensorFlow/PyTorch, and cloud tools.
Build and maintain automated test frameworks for AI agents and LLM-powered apps, including eval pipelines, chaos testing, and CI/CD integration across LangGraph and Vercel stacks.
Build and deploy AI agents that automate financial workflows using Python, LLM APIs (Claude/OpenAI), and Microsoft ecosystems; focus on production-grade, secure, and scalable solutions.
Designs and deploys AI/ML models and GenAI solutions (LLMs, RAG) on Azure and Databricks, embedding intelligence into enterprise data pipelines and lakehouse architectures.
Builds AI-driven workflow automations and integrations using LLM APIs, n8n/Make.com, and cloud tools to connect business systems and create scalable solutions.
Design and deploy multi-agent AI systems for logistics workflows, integrating LLMs with enterprise tools using frameworks like CrewAI and LangGraph.
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